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Paper Citation Record · LEDGER

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages

As of 7 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 1 inbound Pith citation observation for arXiv:2506.19187.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.19187 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:14:49.425405Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:45:17.589868Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

74 of 74 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved69
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ab0a690-f28d-4a4a-b818-6bb80383b23b · outbound

This paper cites online" 'onlinestring :=.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages online" 'onlinestring :=

Reference 1

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no resolver link, observed 2026-08-06T23:14:36.224946Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:36.224946Z digest=sha256:7a86dea737a24b679f610bd9600f6032a93d9ecda4ffa60061a6c5f3ec9b863f

Observation e55a4715-380c-4b3d-9e85-5fe76a94c1f3 · outbound

This paper cites write newline.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages write newline

Reference 2

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no resolver link, observed 2026-08-06T23:14:36.394749Z

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source=arxiv_source observed=2026-08-06T23:14:36.394749Z digest=sha256:420b9234c226887ba559f8d9b9c3631c5596f2a5936087660119a26bd0661fdb

Observation 2d967d30-d92f-4236-8464-a3c4af354439 · outbound

This paper cites MasakhaNER: Named Entity Recognition for African Languages.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages MasakhaNER: Named Entity Recognition for African Languages

Reference 3

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no resolver link, observed 2026-08-06T23:14:36.511221Z

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source=arxiv_source observed=2026-08-06T23:14:36.511221Z digest=sha256:8e477651e60096f174912f5720c97ace4da86c9eadf619b9c4bce7f8a8bfc0b4

Observation afd4720d-1135-4d2b-83e7-c3fb4bb51c36 · outbound

This paper cites Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages

Reference 4

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no resolver link, observed 2026-08-06T23:14:36.685182Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:36.685182Z digest=sha256:7bf6c20efada123bdd6c41a6ebb2d55bae3bdddd3d0420de00484ad87dfb91df

Observation b4171c2e-ce72-4295-87e6-d4ff362e1719 · outbound

This paper cites IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models

Reference 5

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no resolver link, observed 2026-08-06T23:14:36.754881Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:36.754881Z digest=sha256:e16aafb1444796df782d18108e6df6768b83e7319a57775d8452c9133eb33e8a

Observation 3ee3532b-dd7f-4fae-bd83-1ffb9c84237b · outbound

This paper cites MEGA: Multilingual Evaluation of Generative AI.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages MEGA: Multilingual Evaluation of Generative AI

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:36.913456Z digest=sha256:0f910a7a231d907df3e15293690a0c8d6973bbff2d2b728bdc49a9e9645761ae

Observation f072627d-3dbe-4582-a057-dd8fc1de47bb · outbound

This paper cites MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

Reference 7

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source=arxiv_source observed=2026-08-06T23:14:37.185139Z digest=sha256:0d6a56a8df9315d55cae9da8700f58db577cdc897628c643b404f2e307471a26

Observation f3fe33e8-05fc-4aa0-953c-964e1d2d0163 · outbound

This paper cites Alabi, David Ifeoluwa Adelani, Marius Mosbach, and Dietrich Klakow.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Alabi, David Ifeoluwa Adelani, Marius Mosbach, and Dietrich Klakow

Reference 8

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source=arxiv_source observed=2026-08-06T23:14:37.304838Z digest=sha256:4d82bcd787f42572b73c4a033a902ade8987b4a9c4e653b478237fcdd7620625

Observation 076ba73f-35e0-40f5-b804-1de34f299adb · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Common Voice: A Massively-Multilingual Speech Corpus

Reference 9

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source=arxiv_source observed=2026-08-06T23:14:37.444832Z digest=sha256:6852a83ade10a71b2ef6f4747703ac885b8f954d43f97f7f349a9df33c6f6353

Observation 58e87020-d378-4f77-826c-5a6f7243d84d · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-06T23:14:37.885205Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:37.885205Z digest=sha256:035631fce9933c1bbe4d60148726bf0dc5b3be6ac5987550bf90c5a394a2109c

Observation 5385fafb-6d96-4e4c-b0b1-e1dda17a1e11 · outbound

This paper cites BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer

Reference 11

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source=arxiv_source observed=2026-08-06T23:14:38.008456Z digest=sha256:2613763e2408d487b5289513e7de66da06bb4613e39ba44c8a8f1c479e52231f

Observation fbaace25-70b7-422c-b50b-d7768a1ed34f · outbound

This paper cites Language Models are Few-Shot Learners.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Language Models are Few-Shot Learners

Reference 12

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source=arxiv_source observed=2026-08-06T23:14:38.126156Z digest=sha256:cedb515cb6e6f979e69465d1a61a341aa6f418928222e424b6c456c78f3cc8c1

Observation c586d55f-f9df-425f-be0a-33347c951950 · outbound

This paper cites Spanish Pre-trained BERT Model and Evaluation Data.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Spanish Pre-trained BERT Model and Evaluation Data

Reference 13

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source=arxiv_source observed=2026-08-06T23:14:38.254953Z digest=sha256:b42b4bb58056459125b81fc044ed618af950764aa839ff2d847038e47226b3c4

Observation 13ac1816-429a-479e-85ad-c2e0a3fd969f · outbound

This paper cites Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction

Reference 14

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source=arxiv_source observed=2026-08-06T23:14:38.384825Z digest=sha256:04019ad1eef445b8b2f5e1a30099507cfab1b81be2a0c3277fff052e07ef8069

Observation 4ba0ef40-89a5-4149-97f8-617057edc996 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unsupervised Cross-lingual Representation Learning at Scale

Reference 15

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no resolver link, observed 2026-08-06T23:14:38.484731Z

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source=arxiv_source observed=2026-08-06T23:14:38.484731Z digest=sha256:d87c4857aefdbec56075fbb33eb880ff1f65f425296ff8297d6ea5fc5238af75

Observation af4208ee-352f-4813-8098-48617891f8ef · outbound

This paper cites XNLI: Evaluating Cross-lingual Sentence Representations.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages XNLI: Evaluating Cross-lingual Sentence Representations

Reference 16

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source=arxiv_source observed=2026-08-06T23:14:38.634913Z digest=sha256:4548397c1f2b150f1be30feb31473b997de6ccda9360083c3115240ca6161252

Observation 3339dc5f-f317-43c6-99da-6da2242f42e2 · outbound

This paper cites Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Reference 17

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source=arxiv_source observed=2026-08-06T23:14:38.754811Z digest=sha256:08416f28b0ad38230da70efb76f6f0d3c55f21ffaa7414faefba8ced358c5218

Observation c065a153-505f-4e7c-b494-ca35d5e753b4 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-06T23:14:38.886574Z digest=sha256:4350f2385725ebc4af1078b9c5458bd28bd020a7a6cfd6e6ff055c2f46e19011

Observation 4a962d84-d62c-4166-913d-ecdf7d750b9c · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 19

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no resolver link, observed 2026-08-06T23:14:39.045413Z

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source=arxiv_source observed=2026-08-06T23:14:39.045413Z digest=sha256:2a0142fd5f1f7ee45aa50dc119bd6da6fe671398d9ca301328d1374359795fdd

Observation 81b7097e-bae3-46d6-bcac-07d06cb73293 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-06T23:14:39.254303Z digest=sha256:d9052e105f213069e84fc4582fd149861de8f02163e3b75726f3c87990b6ec02

Observation 7f1abaff-1898-4433-819e-884af77e389c · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-06T23:14:39.446381Z digest=sha256:eba82504ed83a5d68fad761e7976c6a40e0d30f8489af7d18006c63bc984bd9f

Observation ad0bb1cd-5284-4f6c-9040-4baf40288f4e · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 22

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no resolver link, observed 2026-08-06T23:14:39.602119Z

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source=arxiv_source observed=2026-08-06T23:14:39.602119Z digest=sha256:ca639b3e51998e8bc754be1d0470287f2db7b4de1a887164357435c117e7d788

Observation 0fb52a37-6d92-4b31-9c10-e4864c4679f6 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-06T23:14:39.797518Z digest=sha256:958a5b9aea93040143de06f071f036c7586d43ef86dfc515da3049cab7d5f359

Observation 9f5c12f3-d761-4646-8c0b-a5e89a5da2f2 · outbound

This paper cites Pretraining Language Models Using Translationese.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Pretraining Language Models Using Translationese

Reference 24

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source=arxiv_source observed=2026-08-06T23:14:39.964790Z digest=sha256:dd85ffa90da6c3c9488a173bd4a882a6786939f865a1cd7b29cb3e919da59371

Observation fb0664dc-7803-4d11-8f02-9d76f53a85d3 · outbound

This paper cites RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Reference 25

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source=arxiv_source observed=2026-08-06T23:14:40.138615Z digest=sha256:b726308f8e07a5547e9ddedb6c70153eb25c02353e1a63d4870a1110571f7c7b

Observation d7f12bd2-6cda-4959-98f4-2ed02241316f · outbound

This paper cites Bilingual Adaptation of Monolingual Foundation Models.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Bilingual Adaptation of Monolingual Foundation Models

Reference 26

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no resolver link, observed 2026-08-06T23:14:40.315165Z

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source=arxiv_source observed=2026-08-06T23:14:40.315165Z digest=sha256:61bc493816ae24fae780ca202a0c9f737cdfa77ffd256b5eeb15d5b1fba1b02f

Observation 98903a81-8d31-4b70-8500-14aeaf689546 · outbound

This paper cites Saiful Islam, Kazi Mubasshir, Yuan-Fang Li, Yong-Bin Kang, M.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Saiful Islam, Kazi Mubasshir, Yuan-Fang Li, Yong-Bin Kang, M

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:40.444926Z digest=sha256:7a7df282967b724d6eb9ab4f92ff664232dd5298bb1e6a10ec82ac6947d4222b

Observation 31b38be8-cd14-4596-a603-e41eb1415628 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 28

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verified exact
doi, observed 2026-08-06T23:18:30.267237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:14:40.934823Z digest=sha256:32cb41b975546294174dae0db87015d7a8bf8510eba991baa1ea15d24d6a97d8

Observation d9210a17-1ff2-46c4-8e4e-19ad100dc4ea · outbound

This paper cites XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization

Reference 29

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source=arxiv_source observed=2026-08-06T23:14:41.164749Z digest=sha256:ad4a14b8fdc3ccf4ebb7a0b3e688a15bf3f08e9177f79524f60f72dcc9fbaaf9

Observation 3d3dc869-05ad-43eb-baab-3f6b609827e0 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-06T23:14:41.323055Z

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source=arxiv_source observed=2026-08-06T23:14:41.323055Z digest=sha256:efeb2dfab31bb48af1aebc955722fcf9767d48c0c60f803e9782480fef903cb7

Observation 5994a40f-367f-4264-b00a-304ba08a7daf · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-06T23:14:41.534748Z

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source=arxiv_source observed=2026-08-06T23:14:41.534748Z digest=sha256:6737cb9170df1d07ea00f75250daf1a102679f3ede239609a8b78067c0cfefe2

Observation c8ea6192-5cb8-416c-949c-14f673ab7c51 · outbound

This paper cites Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus

Reference 32

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source=arxiv_source observed=2026-08-06T23:14:41.764742Z digest=sha256:670b2d88e111625f6f39519dd8bd1e4e2faab83a54cdd4ed2e5923b7ae85fe51

Observation 0743b1a4-100d-4d61-b932-dacb0c39e74c · outbound

This paper cites Khapra, and Pratyush Kumar.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Khapra, and Pratyush Kumar

Reference 33

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Observation f694b418-cf5c-4a39-ae39-23fffaade771 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 34

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verified exact
doi, observed 2026-08-06T23:18:29.881651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6206cd7b-4a46-4a5a-92d0-3e6a581415ca · outbound

This paper cites Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:42.254886Z digest=sha256:f1d530340c8117c8491eca4f0524d5b36f5156c6e4882c20ee769a0443ef0fc8

Observation ae0c0c01-a00b-4e55-8749-9c61a2c323f6 · outbound

This paper cites ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

Reference 36

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no resolver link, observed 2026-08-06T23:14:42.371137Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:42.371137Z digest=sha256:b49dd85f3c4035ecd1b0758ce70eaaa5af5f761a6f0558eff9425f19259c24c9

Observation 5f4cad8c-255d-4e69-8c1c-43f44e99d5d0 · outbound

This paper cites Cross-lingual Language Model Pretraining.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Cross-lingual Language Model Pretraining

Reference 37

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no resolver link, observed 2026-08-06T23:14:42.584908Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T23:14:42.584908Z digest=sha256:be5fca5db4e832acb3fa22a8cef3c5854c84ee97b4b602a5bb4136fb1cc52269

Observation e3535179-507d-4be6-aee5-b7e8680340e6 · outbound

This paper cites Few-shot Learning with Multilingual Language Models.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Few-shot Learning with Multilingual Language Models

Reference 38

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no resolver link, observed 2026-08-06T23:14:42.814819Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:42.814819Z digest=sha256:fe6f054139b3f399614b30c2bd08e773aff69dda0a29038e79581e760b9f8f3e

Observation cd9d0fce-877b-427f-aacb-91794dad24c8 · outbound

This paper cites Multilingual Denoising Pre-training for Neural Machine Translation.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Multilingual Denoising Pre-training for Neural Machine Translation

Reference 39

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no resolver link, observed 2026-08-06T23:14:42.935703Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:42.935703Z digest=sha256:49b233f6f563d0e7f932243c92a4f0630113b493d5cfdd0aa6770b6db27be1bc

Observation 083ed101-7895-431f-a56b-30f7fe41b521 · outbound

This paper cites Decoupled Weight Decay Regularization.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Decoupled Weight Decay Regularization

Reference 40

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no resolver link, observed 2026-08-06T23:14:43.054093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:43.054093Z digest=sha256:57f5fc14630ea7fba5d9c72fc108359bc898aa0d51d3d6cff2fc9e9a017bce9f

Observation 3fb1dd0c-87d1-45b5-b3c1-8f4742fbc688 · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 41

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no resolver link, observed 2026-08-06T23:14:43.153893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:43.153893Z digest=sha256:d23b5563e8b117266b0018492095c7585a752d46f76dccfee87fa026516bd280

Observation f5e8c144-1645-49b8-be03-3f9f577de03a · outbound

This paper cites Low-resource Languages: A Review of Past Work and Future Challenges.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Low-resource Languages: A Review of Past Work and Future Challenges

Reference 42

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no resolver link, observed 2026-08-06T23:14:43.254929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:43.254929Z digest=sha256:520391cce1f25b2a4fb4af3dbca153d8c0e33eddd67828af3468e4a32b1dcb11

Observation 2d1cad89-24a7-4470-bd21-115edd2d98c3 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 43

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no resolver link, observed 2026-08-06T23:14:43.384791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:43.384791Z digest=sha256:969f49dd933dfcebcada762fa6616e5c58ef6dfebb918caf9f88b7e00c5ea7dd

Observation 5d98d18c-d093-4e9c-87d5-e69b3797d2ae · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 44

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no resolver link, observed 2026-08-06T23:14:43.464747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:43.464747Z digest=sha256:eb72a92c0a43cf63eafdf9ae92a599c052cc993d5230f3b230e7f7514e4d56f5

Observation 8e962bbf-2e92-448b-ab4e-ebcc7f2fa1f4 · outbound

This paper cites Mixed Precision Training.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Mixed Precision Training

Reference 45

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no resolver link, observed 2026-08-06T23:14:43.574847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:43.574847Z digest=sha256:0c7e97ac367601ae3533275d01dc2a1b70a27a45a4950d740e45f17b8546ae11

Observation 127c9423-ab9a-440f-9376-efe5a6e41eca · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 46

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no resolver link, observed 2026-08-06T23:14:43.666916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:43.666916Z digest=sha256:a64ea9e5768a86487a1bd509d4d250c8a5992fd4427bc61e092cb1b3f02cf51e

Observation 9d8e676c-97a7-4198-b443-f85c31c79ca6 · outbound

This paper cites An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models

Reference 47

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no resolver link, observed 2026-08-06T23:14:43.804727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:43.804727Z digest=sha256:de649040aa6d1d1e0772e504ae5c5447a2955f01db7451232d884a3586401c27

Observation 8e467058-3274-4252-a8cb-edb7b48c84d7 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 48

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no resolver link, observed 2026-08-06T23:14:43.911147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:43.911147Z digest=sha256:73eed0c838b843a2c3819cc714b175196d9470b574cbd58cf8bd74255e65280b

Observation 1a9baf7b-04cf-4ad1-8f7b-bb5da4fa2468 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 49

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unresolved
no resolver link, observed 2026-08-06T23:14:44.044745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:44.044745Z digest=sha256:09138613c2753750ef673fd6406e248e1ff917cacb44e55ef90a30f992def7e9

Observation 0e98d0d7-a4d0-44fe-acc2-32dea862e9e9 · outbound

This paper cites UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages

Reference 50

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no resolver link, observed 2026-08-06T23:14:44.184817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:44.184817Z digest=sha256:80f36d102569640b532ac61a39c99b6b664ed79a8f7092e683dbb3b16443dfcb

Observation b1126024-a564-4f82-b3a6-555fe2269291 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 51

Resolution
verified exact
doi, observed 2026-08-06T23:14:50.642705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:14:44.284746Z digest=sha256:ece91533f2ec6cb3a6cc9860866cac849b109b2bbc868c3c0191339f2d48b430

Observation e54493fe-233a-4cf8-a72e-2a86a1d85f53 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 52

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no resolver link, observed 2026-08-06T23:14:44.383849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:44.383849Z digest=sha256:bf5c78aa435d1fe57d9315612b3c6d40139320df4b6153dca4178253e8a14734

Observation 335d6732-6d4d-4596-bc67-873eb78e44f3 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 53

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no resolver link, observed 2026-08-06T23:14:44.524745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:44.524745Z digest=sha256:342d9c763bc116e3ae9fb114aa2286f22a6490fac33d2ee600dec7ff843ac28d

Observation 64ac0a6c-3b88-4655-bc60-babc1f625ca7 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 54

Resolution
verified exact
doi, observed 2026-08-06T23:14:50.144812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:14:44.647892Z digest=sha256:50d08cf3900f24d99c53ce74d3e17ab93502664be08ee57f2be58e5b84365925

Observation 63b4fd4a-2a7b-48d2-ab10-c0fe901cad81 · outbound

This paper cites Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations

Reference 55

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no resolver link, observed 2026-08-06T23:14:44.764748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:44.764748Z digest=sha256:57c1396414d437eef7b04bdb1c5cb121de094aa5de897343e0491b14382e7894

Observation 8e0408f7-2389-4267-b26b-6d462d6ff83f · outbound

This paper cites Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?

Reference 56

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unresolved
no resolver link, observed 2026-08-06T23:14:44.864750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:44.864750Z digest=sha256:0483008bf4014ce5ca9c603b02d8e0966285479549d9de0e5a3733ec47b22557

Observation 296d2282-24f4-4006-a9bb-a7691a22d9cd · outbound

This paper cites Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation

Reference 57

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no resolver link, observed 2026-08-06T23:14:44.984818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:44.984818Z digest=sha256:7c19803c5592918d92edaedc252fedc2b6beaac25ff44f91fcfd892e6ae630af

Observation 73eae969-eb0d-45ec-97ef-4fa39659de50 · outbound

This paper cites Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation

Reference 58

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no resolver link, observed 2026-08-06T23:14:45.214751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:45.214751Z digest=sha256:ed1bdff93cfb9c40808b393db5ff23a3e419a71d07ebe5d6ad3207c4a929be22

Observation 53a82802-e94e-4f2d-b95d-8c69838e2d13 · outbound

This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Language Models are Multilingual Chain-of-Thought Reasoners

Reference 59

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no resolver link, observed 2026-08-06T23:14:45.350780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:45.350780Z digest=sha256:6c3b067488931d045729bf85b4b1b276370db74e531e047ba20795cdfe84bc9f

Observation c0c34c67-7848-4114-a63b-89769c0baafc · outbound

This paper cites Hashimoto.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Hashimoto

Reference 60

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no resolver link, observed 2026-08-06T23:14:45.455105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:45.455105Z digest=sha256:880cc7936f8d457999debfba14ef71d3d02cf134b46ab8d9da3881603f81cb16

Observation 34e7ae4f-d854-45f3-a79a-7f24f5908f50 · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 61

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no resolver link, observed 2026-08-06T23:14:45.704739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:45.704739Z digest=sha256:cb8763003f48464a9c54a5b5dec39b4e6b130f7fa3095504bfd1aa1e5318d0f2

Observation c0fcd44c-afe5-4732-819a-6a9e20b1004e · outbound

This paper cites Exploring Design Choices for Building Language-Specific LLMs.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Exploring Design Choices for Building Language-Specific LLMs

Reference 62

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unresolved
no resolver link, observed 2026-08-06T23:14:45.815766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:45.815766Z digest=sha256:e198399ca6a2079a94996b2b6d04519d0d835801baf8d1438ab98e8f6a02a3ce

Observation 37ee4ca4-7868-40ed-b45f-5ca1de194690 · outbound

This paper cites Development of Pre-Trained Transformer-based Models for the Nepali Language.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Development of Pre-Trained Transformer-based Models for the Nepali Language

Reference 63

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no resolver link, observed 2026-08-06T23:14:46.004752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:46.004752Z digest=sha256:5581fd6455157a2fc50a15de10c25dcda9dde34e933d818da52b0be223a2a13f

Observation f69df4a8-2286-45ae-9bad-b611571f7166 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 64

Resolution
verified exact
doi, observed 2026-08-06T23:14:49.905670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:14:46.210270Z digest=sha256:4617ca04ea9810c9315202bff09160cbe4f58448a8075ce55866fc16ac5e809c

Observation 88d128a9-09ec-42a8-ad09-903137b6498a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages LLaMA: Open and Efficient Foundation Language Models

Reference 65

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no resolver link, observed 2026-08-06T23:14:46.314773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:46.314773Z digest=sha256:e3f8cbb5dc241a676c7c49c0879d48409be688cf8988ab2a5b93f0263d7565f1

Observation ef2ddd18-d55e-4227-ba79-62aec311cb39 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 66

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unresolved
no resolver link, observed 2026-08-06T23:14:46.464748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:46.464748Z digest=sha256:af8f161b0d7661b882aa1cc7b467b1ee86702520cbe9ac6a80e19f506ebed1b2

Observation aec8bdad-5560-46fa-953c-ade515f97be4 · outbound

This paper cites Attention Is All You Need.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Attention Is All You Need

Reference 67

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unresolved
no resolver link, observed 2026-08-06T23:14:46.642205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:46.642205Z digest=sha256:e669b27330d4cef852170dae11a1623b6f8a7e0d6ae74f9c92341f37072b25df

Observation a1a3b63f-803d-4404-a7b0-b5f16f00d0fd · outbound

This paper cites Generative Model for Less-Resourced Language with 1 billion parameters.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Generative Model for Less-Resourced Language with 1 billion parameters

Reference 68

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no resolver link, observed 2026-08-06T23:14:46.944841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:46.944841Z digest=sha256:ba6fef9a79ef7cc54287da33741d703e235bd2c67fb3997e0ec268ee9e0de907

Observation 3b8c73e8-61bb-4c59-86b1-a231b0ad4c23 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 69

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unresolved
no resolver link, observed 2026-08-06T23:14:48.628777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:48.628777Z digest=sha256:1381946a1f4813c09c54860980fe50cf9ca1549ebcdc36fee077920dcd04086c

Observation 581f61d5-b053-41dd-bd2e-6cabadff4e17 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 70

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unresolved
no resolver link, observed 2026-08-06T23:14:48.877481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:48.877481Z digest=sha256:971759e67b9c462b70689f8e1e820b6dd56406abde31783337c6a209d5f99431

Observation 36267afd-3919-4bde-b768-5eca2cad0e96 · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T23:14:49.007074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 87f50de8-15a2-4d19-a1e5-02f159400aad · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages mT5: A massively multilingual pre-trained text-to-text transformer

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T23:14:49.204744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 83e51eb9-d7a2-42e4-a2c5-8e560a68c406 · outbound

This paper cites An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T23:14:49.323364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:49.323364Z digest=sha256:4988d58e400ff4381678f399c74a2819812386993e058932e0fe9e9f8f065785

Observation f82d8d2a-19c8-4989-808d-e87889455e2a · outbound

This paper cites an unresolved cited work.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T23:14:49.425405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:14:49.425405Z digest=sha256:d92e6dcc24b15607a52bc0286e5ebdc73f6fb7bc478a90b49380f4f7816cf524

Pith citing papers

Observation 078d8743-4363-463c-980c-86213662c797 · inbound

TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla cites this paper.

TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:17.589868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:45:17.589868Z digest=sha256:b80f10f01c72dc4fc2e5dfb8493342c8e3a743233396bc86d0f2c88b070aa3bc