Large Language Models in the Task of Automatic Validation of Text Classifier Predictions | Paper Citation Record

Observation d0ec4721-b877-49ae-9483-bfefca10e460 · outbound

This paper cites Incremental Learning In Online Scenario.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Incremental Learning In Online Scenario

Reference 1

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Observation d05ee2e8-179b-4359-b0ba-75c9da97e466 · outbound

This paper cites Model Drift: Why It Happens and How to Detect It.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Model Drift: Why It Happens and How to Detect It

Reference 2

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Observation 751a84d9-f9fb-4dae-a218-a18443e9f6a0 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 3

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This paper cites A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 4

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This paper cites Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance

Reference 6

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Observation c93ac7fb-9cb5-4363-bebb-54a974db4397 · outbound

This paper cites Efficient Intent Detection with Dual Sentence Encoders.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Efficient Intent Detection with Dual Sentence Encoders

Reference 7

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This paper cites GPT-4 Technical Report.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions GPT-4 Technical Report

Reference 8

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Observation c9b78ddd-4676-46ad-b473-0b0ae211a65c · outbound

This paper cites Open, Closed, or Small Language Models for Text Classification?.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Open, Closed, or Small Language Models for Text Classification?

Reference 9

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Observation 65625a38-4fdf-43c9-a4ab-2a96fb2f4c32 · outbound

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

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 10

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Observation ef88843f-6e8e-4359-b273-9188d8f22f0c · outbound

This paper cites A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 11

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Observation 5a07de35-388b-415a-a0f9-79f19c4ac1ec · outbound

This paper cites Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment

Reference 12

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This paper cites GPT-4o System Card.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions GPT-4o System Card

Reference 13

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Observation e8c43d8b-85b0-4b84-8db1-c5eeb5a8b0fc · outbound

This paper cites ChatGPT outperforms crowd workers for text-annotation tasks.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions ChatGPT outperforms crowd workers for text-annotation tasks

Reference 14

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Observation 5fab6e53-a7ff-4e33-a56f-679a0dd5141e · outbound

This paper cites Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels

Reference 15

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Observation c4836562-0118-48e3-8118-d0a93b6e9f86 · outbound

This paper cites Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural Networks.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural Networks

Reference 16

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This paper cites Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation

Reference 17

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This paper cites Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection

Reference 18

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Observation 34dd3bd7-a98c-4c1f-8ded-f1a089090ae9 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Large Language Models are Zero-Shot Reasoners

Reference 19

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This paper cites Language Models are Few-Shot Learners.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Language Models are Few-Shot Learners

Reference 20

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Observation 8f0f638b-c449-4bcf-9da1-b78f74bc33de · outbound

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

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions LoRA: Low-Rank Adaptation of Large Language Models

Reference 21

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This paper cites The probabilistic relevance framework: BM25 and beyond.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions The probabilistic relevance framework: BM25 and beyond

Reference 22

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Observation eb62bd1e-3d36-4509-9d48-8f2544d24f1c · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 23

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This paper cites The Llama 3 Herd of Models.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions The Llama 3 Herd of Models

Reference 24

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This paper cites Qwen2.5: A Party of Foundation Models.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Qwen2.5: A Party of Foundation Models

Reference 25

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This paper cites Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian

Reference 26

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This paper cites NeMo Mistral Toolkit for Large Language Models.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions NeMo Mistral Toolkit for Large Language Models

Reference 27

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Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Unresolved cited work

Reference 28

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This paper cites Introducing Athene-V2: Advancing Beyond the Limits of Scaling with Targeted Post-training.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Introducing Athene-V2: Advancing Beyond the Limits of Scaling with Targeted Post-training

Reference 29

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This paper cites Multilingual E5 Text Embeddings: A Technical Report.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Multilingual E5 Text Embeddings: A Technical Report

Reference 30

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This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 31

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This paper cites The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design

Reference 32

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This paper cites The Faiss library.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions The Faiss library

Reference 33

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 34

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This paper cites Use the exact class name that was provided in the list, as this is necessary for subsequent quality assessment.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Use the exact class name that was provided in the list, as this is necessary for subsequent quality assessment

Reference 38

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Large Language Models in the Task of Automatic Validation of Text Classifier Predictions unk" ("unk

Reference 39

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Large Language Models in the Task of Automatic Validation of Text Classifier Predictions unk" ("unk

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This paper cites If you find this difficult, do it as you see fit and then translate your thoughts into Russian.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions If you find this difficult, do it as you see fit and then translate your thoughts into Russian

Reference 41

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Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Unresolved cited work

Reference 42

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Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Unresolved cited work

Reference 43

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This paper cites [REASONING] Reasoning regarding the selection of the appropriate class.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions [REASONING] Reasoning regarding the selection of the appropriate class

Reference 44

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This paper cites If you decide that the answer should be one of the intents in the list, make sure you answer ONLY with the number of that intent.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions If you decide that the answer should be one of the intents in the list, make sure you answer **ONLY** with the number of that intent

Reference 45

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This paper cites This data was obtained from the internal information system and may contain additional useful information about the user’s text.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions This data was obtained from the internal information system and may contain additional useful information about the user’s text

Reference 46

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This paper cites You receive text that a user has written in the app’s support chat, along with several hypothetical intents (classes) that this text may refer to.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions You receive text that a user has written in the app’s support chat, along with several hypothetical intents (classes) that this text may refer to

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:31:14.382874Z

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This paper cites Use the exact number that was provided in the list, as this is necessary for subsequent quality assessment.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Use the exact number that was provided in the list, as this is necessary for subsequent quality assessment

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:31:12.638562Z

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Large Language Models in the Task of Automatic Validation of Text Classifier Predictions unk" ("unk

Reference 51

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Large Language Models in the Task of Automatic Validation of Text Classifier Predictions unk" ("unk

Reference 52

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This paper cites If you decide that the answer should be one of the intents in the list, make sure you respond with ONLY the number of that intent.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions If you decide that the answer should be one of the intents in the list, make sure you respond with **ONLY** the number of that intent

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:31:11.917231Z

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This paper cites This data was obtained from the internal information system and may contain additional useful information about the user’s text.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions This data was obtained from the internal information system and may contain additional useful information about the user’s text

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:31:11.716856Z

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This paper cites If you find this difficult, do it as you see fit and then translate your thoughts into Russian.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions If you find this difficult, do it as you see fit and then translate your thoughts into Russian

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:31:11.199629Z

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This paper cites Reason step by step; for convenience, you can break your reasoning down into separate points.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Reason step by step; for convenience, you can break your reasoning down into separate points

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:31:10.603492Z

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Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Unresolved cited work

Reference 61

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Observation d09a935f-3308-448f-a58d-27227ccfc0b8 · outbound

This paper cites Reason consistently, step by step, consider all possible options, and be sure to use the class description and examples provided for it.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Reason consistently, step by step, consider all possible options, and be sure to use the class description and examples provided for it

Reference 62

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Large Language Models in the Task of Automatic Validation of Text Classifier Predictions yes" or

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Observation b01cc0d3-93b9-4238-987c-6cb68cbf462c · outbound

This paper cites This data was obtained from the internal information system and may contain additional useful information about the user’s text.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions This data was obtained from the internal information system and may contain additional useful information about the user’s text

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:31:09.737725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ebc9ea1-3584-4f7e-a07a-992c6ee8741b · outbound

This paper cites You receive text that a user has written in the application’s support chat and the suggested class to which this text may belong.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions You receive text that a user has written in the application’s support chat and the suggested class to which this text may belong

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:31:11.488148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 542fdf6a-f2fd-40d3-a0ce-a2783b367580 · outbound

This paper cites an unresolved cited work.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:31:14.279319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2776af9-b789-4218-9f73-d087f1cb169d · outbound

This paper cites an unresolved cited work.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:31:14.172996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 94400ce6-519a-4435-89b4-2bab41b99ee2 · outbound

This paper cites Carefully compare the text with the examples to avoid falling into a trap.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Carefully compare the text with the examples to avoid falling into a trap

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:31:10.927038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f64dca15-e180-4c05-b820-07db8fbe4dfc · outbound

This paper cites 0" or "1.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions 0" or "1

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:31:09.502182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c1bb08c4-0c81-43ed-b1f9-a32c70bb0d91 · outbound

This paper cites This data was obtained from the internal information system and may contain additional useful information about the user’s text.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions This data was obtained from the internal information system and may contain additional useful information about the user’s text

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:31:09.236480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers