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Paper Citation Record · LEDGER

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning

As of 20 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 5 inbound Pith citation observations for arXiv:2505.21354.

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

pith.paper-citation-record.v1
2505.21354 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:58.332904Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:31:24.930025Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T10:54:36.292171Z

Reference resolution

63 of 63 outbound references displayed

  • verified exact3
  • verified fuzzy32
  • unresolved28
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8851d845-14bd-410d-b0cc-bf2012b374cd · outbound

This paper cites Enhancing multiple-choice question answering through sequential fine-tuning and curriculum learning strategies.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Enhancing multiple-choice question answering through sequential fine-tuning and curriculum learning strategies

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:18.833761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8600f7f3-815b-48d2-8ac3-1ffac026731f · outbound

This paper cites A seq2seq-based approach to question answering over knowledge bases.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning A seq2seq-based approach to question answering over knowledge bases

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:18.502624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d4094523-7204-4a38-9d20-f646647a4d33 · outbound

This paper cites Qa dataset explosion: A taxonomy of nlp resources for question answering and reading comprehension.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Qa dataset explosion: A taxonomy of nlp resources for question answering and reading comprehension

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:18.212619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 008fa829-38aa-4454-9bdd-a8c28c70b47b · outbound

This paper cites Ask me: A question answering system via dynamic memory networks.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Ask me: A question answering system via dynamic memory networks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:17.920925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:51.717616Z digest=sha256:699f4a5b45b7f8050b7ae102042e3485872d41fb92522dd90317259ea9cbb5ef

Observation 43b0cf24-010b-4154-a8eb-0bcf08ff03ff · outbound

This paper cites A goal-driven tree-structured neural model for math word problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning A goal-driven tree-structured neural model for math word problems

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:17.612251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:51.824747Z digest=sha256:a949c2c6af9df78a422395257a68a50d80f5c3464671410933c2e87207fc1885

Observation 8ad62dc8-66dd-43ab-bbc5-909ac7b78293 · outbound

This paper cites Teacher-student networks with multiple decoders for solving math word problem.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Teacher-student networks with multiple decoders for solving math word problem

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:17.346877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:51.963859Z digest=sha256:966b2b90b3b1940c614a748ad50f59f405e570ace5faaa9892aeb7c81e7a4002

Observation 77378579-5fe6-4515-b87d-ccfca2c06b86 · outbound

This paper cites Mwp-bert: Numeracy-augmented pre-training for math word problem solving.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Mwp-bert: Numeracy-augmented pre-training for math word problem solving

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:17.131973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:52.113434Z digest=sha256:48ec7e2d8a3390f32d555bd06ff1a5f825424de66b710240ba649480c8ab74ca

Observation eeafc885-9365-4334-8be1-8f6bd6ee5fd0 · outbound

This paper cites Template- based math word problem solvers with recursive neural networks.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Template- based math word problem solvers with recursive neural networks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:16.963985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:52.218105Z digest=sha256:5e9f378880d088f84b045ab9c9e37351d976b1f4b6ef681229e564e0d563b2b7

Observation e6d485ba-ff5a-470a-a1a6-0a549a150e01 · outbound

This paper cites Graph-to-tree learning for solving math word problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Graph-to-tree learning for solving math word problems

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:16.780074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:52.282854Z digest=sha256:14c68b0eb1eb1aad1e0e5f6744079887f5318115dd7c5811f82b67496469bf67

Observation 9319b5da-d2f8-48b0-8f8c-e39ede38c5a8 · outbound

This paper cites Solving math word problems with multi-encoders and multi-decoders.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Solving math word problems with multi-encoders and multi-decoders

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:16.515749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:52.411073Z digest=sha256:4d8a73fd8621beaffbcfa4453d0cdf2206880e87b9015d02c62c820e10fef8d1

Observation 87a85faa-8ea2-4ccd-a7b1-3360007957ac · outbound

This paper cites Some challenges and grand challenges for computational intelligence.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Some challenges and grand challenges for computational intelligence

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:52.528526Z digest=sha256:9c44344e401e537291b53c824f07433cb75ccdad620be681d84e256d710eb605

Observation 1c1db8b7-4c8f-4a35-8831-83c0bc4a8131 · outbound

This paper cites Mathbot–a deep learning based elementary school math word problem solver.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Mathbot–a deep learning based elementary school math word problem solver

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:16.003993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:52.608168Z digest=sha256:0f679a4de22893734cb5afbbd4404398583c5dc1598d22764d26cfa3b23d91df

Observation 3b7962d4-768e-4320-a469-0d32f8fcc6ed · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Training Verifiers to Solve Math Word Problems

Reference 13

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unresolved
no resolver link, observed 2026-08-07T13:35:52.682195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:52.682195Z digest=sha256:d2b091008ef17291ff0fd182eb22ef373ab2aa53fc5f8b64ec3d195a5c2d6530

Observation 57218e2c-76df-457c-9acb-43dfc6b8d106 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:52.842609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d5def083-0891-4bd8-a4d1-06ebfd8c36ad · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:52.954971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 674e35c4-97d9-43f0-9e43-0cfb4edf6dbb · outbound

This paper cites List of languages by total number of speakers, 2024.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning List of languages by total number of speakers, 2024

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:15.782650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c65fac9d-886f-4510-b384-9a7b661ae28a · outbound

This paper cites Gpt-4o: A new multimodal ai model, 2024.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Gpt-4o: A new multimodal ai model, 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:15.669620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0d46136d-2df9-4a59-961d-14a70417d229 · outbound

This paper cites Gpt-3.5 turbo model documentation, 2023.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Gpt-3.5 turbo model documentation, 2023

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:53.370995Z digest=sha256:fb7dc23b41ba9bd01ab018be9bc2e721a18b40e9ca41bdb0df6de8391ee173d2

Observation 8fc2c86b-ab4c-45cd-9690-806e2696735b · outbound

This paper cites Llama 3: Open and efficient foundation language models, 2024.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Llama 3: Open and efficient foundation language models, 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:15.320714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:53.439206Z digest=sha256:d42dc1f3418fa374ced20155e60809d7b23386bdb927159c269a94cf11002426

Observation 2a362c75-9771-42b8-90bc-21d20f3e98b4 · outbound

This paper cites Deepseek platform documentation, 2025.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Deepseek platform documentation, 2025

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:15.131908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:53.539412Z digest=sha256:860c486e099472fa72553ce3afbfcddde9fdceb2a22438b5b9d84ab65a18d2d3

Observation 9a54243e-cd0a-4aca-8ddb-0abab117bf25 · outbound

This paper cites Qwen chat interface, 2025.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Qwen chat interface, 2025

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:14.978805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8214b294-4a30-4636-b521-9d6ffbd1e15e · outbound

This paper cites Empowering bengali education with ai: Solving bengali math word problems through transformer models.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Empowering bengali education with ai: Solving bengali math word problems through transformer models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:14.839511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:53.735697Z digest=sha256:3ca581cb2eb4eb83303df32c386a746fe7f18d01cc907f2a2b244ea03817a8fc

Observation 83bfabbc-7f61-498b-b0c5-77c8b2ae0a01 · outbound

This paper cites Deep neural solver for math word problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Deep neural solver for math word problems

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:36:03.908391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d635a67e-b8d4-4848-8659-2bd2654c77bf · outbound

This paper cites Variational Neural Machine Translation.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Variational Neural Machine Translation

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:36:00.484103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6d94e38e-7064-4095-8477-46bcd989d057 · outbound

This paper cites Neural math word problem solver with reinforcement learning.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Neural math word problem solver with reinforcement learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:36:03.714581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:54.176003Z digest=sha256:bef1edf1276d4285346ea212a512f9ad2ff102965283d3828da48c039e780ba9

Observation 1be61eb5-4e0b-406a-a17c-4c93a2d86f73 · outbound

This paper cites Graph-to-tree learning for solving math word problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Graph-to-tree learning for solving math word problems

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:36:03.504952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:54.283405Z digest=sha256:846d541b41cfb5ea8ebbd870bb53e2ed68cc36394d116cde4c841f20e1e7fd80

Observation 6abb0704-619e-4892-8b48-f3b3aca39bdf · outbound

This paper cites Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:54.354275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:54.354275Z digest=sha256:edc69b9979472c4e2cce0f3ea1cf3527b681df88f629c8098949754a8c6d11be

Observation 98692119-05b8-43c7-8810-f682f09fe786 · outbound

This paper cites Solving math word problems with multi-encoders and multi-decoders.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Solving math word problems with multi-encoders and multi-decoders

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:36:03.316551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:54.444653Z digest=sha256:3879a758dbf6a9ecb240f2379950921ca3618e8303d0e2e57027e13022d9ce66

Observation 1729d80a-e88c-46a7-943b-d25b5dfb7f04 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:54.662061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:54.662061Z digest=sha256:8d3c620858262fd78d56cbd5e8d72b1471a2dbf0ac0da9aaa1aa1c1344ed5bb2

Observation 75d3f937-d22c-46dd-aaad-76669dd15dc9 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:54.840340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:54.840340Z digest=sha256:1c759e1df0c9998e3624ca99497f9b44b5a8681ec2383f460438de1ad6ce5289

Observation 7ae23613-e2fa-4952-a748-2d27d9f27953 · outbound

This paper cites Language models are unsupervised multitask learners.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Language models are unsupervised multitask learners

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:54.957922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:54.957922Z digest=sha256:4e7c6f589d89ad2ba3772fc2994d1321cbb99ea6dd0496f915ac8e8c2aa8ee41

Observation 8c2e10b2-72be-4269-abf7-51451dbe5732 · outbound

This paper cites Transformers as Soft Reasoners over Language.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Transformers as Soft Reasoners over Language

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:55.046610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:55.046610Z digest=sha256:e62295c5c627104ca2730610fbe7f48119173610997fded96a5cf495e1729d3a

Observation e163eb97-36bb-4371-9149-848ebe4bd990 · outbound

This paper cites RuleBert: Teaching Soft Rules to Pre-trained Language Models.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning RuleBert: Teaching Soft Rules to Pre-trained Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:55.136064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:55.136064Z digest=sha256:1c539181aa00de95aafc8215de9ba8231dddc45f8993c15322891a2c75751e5f

Observation 8b52942e-51d8-4d71-8420-7d1f87d99aed · outbound

This paper cites Explainable multi-hop verbal reasoning through internal monologue.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Explainable multi-hop verbal reasoning through internal monologue

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:36:03.055518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:55.266260Z digest=sha256:2c9a221929ce710238e75f55bcf398f7630fee12e3725508bf388b0dc1d7ce14

Observation 2fdc9d83-014e-4887-a8ac-1bff9f9c4eeb · outbound

This paper cites MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving

Reference 37

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source=pdf_text observed=2026-08-07T13:35:55.424825Z digest=sha256:cea84d320d7b12de98ca6a92adb99b51ac85189561dab729360c323ea0839c67

Observation 25e3c613-84d7-46a2-b281-9f5a66256335 · outbound

This paper cites Math Word Problem Solving by Generating Linguistic Variants of Problem Statements.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Math Word Problem Solving by Generating Linguistic Variants of Problem Statements

Reference 38

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local_arxiv, observed 2026-08-07T13:35:59.646307Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:55.503120Z digest=sha256:fbe1ab22e890d27e871a56a5372fb006eb6610f7f6fd8773a57c0eb0eccc3f26

Observation 7266a69d-9224-4f81-b5f4-c84110831ecf · outbound

This paper cites Translating a Math Word Problem to an Expression Tree.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Translating a Math Word Problem to an Expression Tree

Reference 39

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source=pdf_text observed=2026-08-07T13:35:55.619929Z digest=sha256:1aa0a35d75c15e9b78d94b686ce806e321a1b265577c3c8a18fecfd0906392e0

Observation 23ae65c6-c61e-4181-8e15-9bea9da0f5f9 · outbound

This paper cites A goal-driven tree-structured neural model for math word problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning A goal-driven tree-structured neural model for math word problems

Reference 40

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raw_fallback, observed 2026-08-07T13:36:02.904115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:55.749427Z digest=sha256:7246125ec78954ed3870fe19dd7143b8d4294016062bd32b14c37fadc94dfa8e

Observation 56c67967-314b-4e1f-8737-6692d35ffde6 · outbound

This paper cites WARM: A Weakly (+Semi) Supervised Model for Solving Math word Problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning WARM: A Weakly (+Semi) Supervised Model for Solving Math word Problems

Reference 41

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local_arxiv, observed 2026-08-07T13:35:59.362226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:55.849692Z digest=sha256:a4b77e4a355fe9094828e78caf1cb736d01b14def9bc42229cde5283dd6dfbe1

Observation eb929e99-d3ad-4b0c-a971-a10a344d65d1 · outbound

This paper cites Making Large Language Models Better Reasoners with Step-Aware Verifier.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 42

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source=pdf_text observed=2026-08-07T13:35:55.915561Z digest=sha256:19f8c70164b425d2d9f41e7eae9626cb6056c1e63d86327ff2b2a48a8413df7d

Observation 7548603f-a226-4256-8d9b-08ca34e75e25 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 43

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source=pdf_text observed=2026-08-07T13:35:55.983498Z digest=sha256:ea56e3b9c18612d7293ff0ec15fc3a226a120317b4239685989196bfdb4f06fb

Observation b2888d39-e4c4-4ff9-ab40-37e5e404228e · outbound

This paper cites Can Rationalization Improve Robustness?.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Can Rationalization Improve Robustness?

Reference 44

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source=pdf_text observed=2026-08-07T13:35:56.075498Z digest=sha256:4858947aeb39feaccc19e92d73728fc849a95fa35a4fad6d2e10ee6e0bb55c85

Observation 9dcd28d4-2c9b-41c4-9472-608f808ae460 · outbound

This paper cites Training classifiers with natural language explanations.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Training classifiers with natural language explanations

Reference 45

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raw_fallback, observed 2026-08-07T13:36:02.655164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:56.176922Z digest=sha256:ebcc43770638d6ee45a27f2a7c8f972404ab0913fb17ac7ece9518e2351ade97

Observation 46bad65e-d4ff-4c1d-a223-612eaf007a0c · outbound

This paper cites Benefits of intermediate annotations in reading comprehension.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Benefits of intermediate annotations in reading comprehension

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-07T13:36:02.398713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:56.253088Z digest=sha256:74d9aba230bc6e0360a746a83a87769b3bc70ed9b403f83cba2372dddc61fe21

Observation fb660a95-cfa5-4119-88b2-4192771532ba · outbound

This paper cites annotator rationales.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning annotator rationales

Reference 47

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no resolver link, observed 2026-08-07T13:35:56.358021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:56.358021Z digest=sha256:88e327505c100077fbd0bce40de087397e779baf3344d4257276a2e5f2aeb1c8

Observation 6ffd2ebd-bd41-4916-b83b-f8a13badb217 · outbound

This paper cites Refining language models with compositional explanations.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Refining language models with compositional explanations

Reference 48

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raw_fallback, observed 2026-08-07T13:36:02.134801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:56.435417Z digest=sha256:0132155032dd28c91811dcc6ec05cf2842c49a9742ebd2e647252a3dbe0af98b

Observation 5f27e3ed-8edb-4f89-8dd0-76adb2938146 · outbound

This paper cites When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Reference 49

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:56.530678Z digest=sha256:b8b5bc2e68975dfb8c0701303f5e2476f122703b215d084c713bdefce5db39b1

Observation 84be5499-14e1-4446-a285-c66c0a160a6b · outbound

This paper cites Dream: Uncovering mental models behind language models.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Dream: Uncovering mental models behind language models

Reference 50

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raw_fallback, observed 2026-08-07T13:36:01.828908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:56.618353Z digest=sha256:286cf4d751a1136e235a6084bf1934ac043bc1ea4c4599ca5aec52777e96c431

Observation d60b5adc-1150-4d64-8609-2c6d81ba5bc7 · outbound

This paper cites Learning with Latent Language.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Learning with Latent Language

Reference 51

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no resolver link, observed 2026-08-07T13:35:56.712731Z

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source=pdf_text observed=2026-08-07T13:35:56.712731Z digest=sha256:f9ee21464b65025a716d37bcee91887d10b30fc8250d17b5ac2e3249b9d0b40c

Observation 29694b7a-987b-47e9-8c7f-3aaccbf56254 · outbound

This paper cites e-snli: Natural language inference with natural language explanations.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning e-snli: Natural language inference with natural language explanations

Reference 52

Resolution
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raw_fallback, observed 2026-08-07T13:36:01.521485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:56.837903Z digest=sha256:5c77d873a17c1f24e75b863ac3484236583ce8088898a5a77a0d5419313364cd

Observation cb320539-7141-4e9d-86ac-f191b02f451e · outbound

This paper cites Explain Yourself! Leveraging Language Models for Commonsense Reasoning.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Explain Yourself! Leveraging Language Models for Commonsense Reasoning

Reference 53

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no resolver link, observed 2026-08-07T13:35:56.897039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:56.897039Z digest=sha256:5025db6247d3a5e49b379b8d7566b50d0358d9765497a59d40cd3728e47239ab

Observation 7a13c995-b724-4140-bf5a-d58e0a8215c4 · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Star: Bootstrapping reasoning with reasoning

Reference 54

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no resolver link, observed 2026-08-07T13:35:57.021123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.021123Z digest=sha256:4306c8d7bccda51e67d3fb5b91e51fc493227986c340ca9b6cf44de31961054d

Observation fe6f724e-524d-43b9-a354-60fd4969d7ee · outbound

This paper cites Language models are few-shot learners.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Language models are few-shot learners

Reference 55

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no resolver link, observed 2026-08-07T13:35:57.172066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.172066Z digest=sha256:e746af79bc4b79503a68dbc193f41a372bf42ccfe5980010eeb9eb402b70fc86

Observation aa14119b-d803-4095-9761-da80e3fd3d98 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 56

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no resolver link, observed 2026-08-07T13:35:57.337437Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:35:57.337437Z digest=sha256:e33ba4dc0e93fc4b1a2e31f249b3c716da85f9a1b3dab7f3d658a6dc92579962

Observation b6245449-8ca9-492f-b0bd-28c16528a617 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Finetuned Language Models Are Zero-Shot Learners

Reference 57

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no resolver link, observed 2026-08-07T13:35:57.497124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.497124Z digest=sha256:55e7dece35c97d7e46993655217a5bae0114633ea11f61c1491420e2811dab05

Observation 74d0010e-af61-4bd1-83b0-2fb9dc1535ac · outbound

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 58

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no resolver link, observed 2026-08-07T13:35:57.623456Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:35:57.623456Z digest=sha256:76981144f3f16804db2e38e4c43a5aebf5c40e6070eb13a3e2d06307953c2071

Observation 3595d4e4-9e4d-401a-8538-859fe51b632e · outbound

This paper cites Training language models to follow instructions with human feedback.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Training language models to follow instructions with human feedback

Reference 59

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no resolver link, observed 2026-08-07T13:35:57.688686Z

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source=pdf_text observed=2026-08-07T13:35:57.688686Z digest=sha256:7ec6cd87eddf1bdc2258e0f48ba5cb79c8f4e157fd3413846a4136360e0d3274

Observation 9e866d84-ed8f-4612-90af-5ec2ce918ba7 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.789016Z digest=sha256:e585592d415ec7eded1edaed48a3d5c0e480a7f35182bbc261d2a01a9e189b98

Observation 78e30e36-b975-45b1-bc5f-ba9282264e09 · outbound

This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 61

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no resolver link, observed 2026-08-07T13:35:57.925049Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.925049Z digest=sha256:73117744982d2ea3f72b175e8f93f0e97cd6ba88721c73f92c9ed10737aad78e

Observation 0f9a0883-cd8d-4e81-b7fe-4965d132c61b · outbound

This paper cites MEGA: Multilingual Evaluation of Generative AI.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning MEGA: Multilingual Evaluation of Generative AI

Reference 62

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no resolver link, observed 2026-08-07T13:35:58.052500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:58.052500Z digest=sha256:aed05c1fed34d7e1e3817c1025fec9534a104506e96b2b7cce7b235cd7e7b21c

Observation 99a19119-5971-4d99-b1c3-3eadeff14aa0 · outbound

This paper cites Fine-tuning gpt-3.5 models, 2023.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Fine-tuning gpt-3.5 models, 2023

Reference 63

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verified fuzzy
raw_fallback, observed 2026-08-07T13:36:01.194660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:58.139884Z digest=sha256:98c0b6fe6c44ecd14bf68d41d4d405f514b7bf1407c9d3c7116298c9b09fc373

Observation 97879762-e93c-46b4-8c7b-b17d59014c8d · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning LoRA: Low-Rank Adaptation of Large Language Models

Reference 64

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no resolver link, observed 2026-08-07T13:35:58.230504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:58.230504Z digest=sha256:2049c897ec742425c3248e3b0ee52c43b9ada91314101ba64a5a3eaa0a6f05c4

Observation 82dc3964-827a-49eb-afae-1569592376d5 · outbound

This paper cites Lora: Low-rank adaptation of large language models, 2024.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Lora: Low-rank adaptation of large language models, 2024

Reference 65

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raw_fallback, observed 2026-08-07T13:36:00.832899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:35:58.332904Z digest=sha256:38d5b663aebc42e2ffac87fce3c8bd63f9aaca25bebd99e5f0f2ae980c4ef10e

Pith citing papers

Observation bb1a6417-046d-41cf-8d28-d87ddfef7b66 · inbound

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali cites this paper.

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:42:46.016588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T22:42:38.908829Z digest=sha256:aa783e96387923fcee898dbdf3541a5802a18d43b01cae3551f6d3248537665b

Observation 7b7828bc-40f4-41ef-b827-963edcc30c44 · inbound

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali cites this paper.

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:54:36.293619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T10:52:20.417390Z digest=sha256:15185ee08b9503c446874d3a0c8b994c5ddfc18ce3110bbd046512e8f8b775e8

Observation c627aa7e-3546-45aa-901f-aea399da88e1 · inbound

GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models cites this paper.

GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning

Reference 36

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no resolver link, observed 2026-08-02T05:48:52.372383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:48:52.372383Z digest=sha256:18b18f9e7823705a1a0684a28113691d95fdb71e63a0fb9a6aaedb569fe3a3c1

Observation 2c4d02ef-4d18-42d1-9edd-4eac35a6cd4f · inbound

PatiGonit22K: A Comprehensive Dataset for Solving Complex Bengali MWPs cites this paper.

PatiGonit22K: A Comprehensive Dataset for Solving Complex Bengali MWPs Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning

Reference 3

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no resolver link, observed 2026-08-15T15:31:24.930025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:31:24.930025Z digest=sha256:cc1a2248a19ccf9c8dcc76bc8da2f0e03ef0b4abc36bee69796b7022bf2677fc

Observation be019f6c-96f2-4524-9d70-cda8f8a333df · inbound

MathShikkha: A Controlled Study of Answer-Only and Chain-of-Thought Supervision for Bangla Mathematical Reasoning in Small Language Models cites this paper.

MathShikkha: A Controlled Study of Answer-Only and Chain-of-Thought Supervision for Bangla Mathematical Reasoning in Small Language Models Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning

Reference 20

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no resolver link, observed 2026-08-14T04:38:49.851723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:49.851723Z digest=sha256:d7556fb867b49c4f585309993d004619f9593e483dbcd319dafab8e6285a31b5