Multi-Granularity Reasoning for Natural Language Inference | Paper Citation Record

Observation 2b44e7c0-b77b-47e4-a6b2-b879ba69478f · outbound

This paper cites What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA,.

Multi-Granularity Reasoning for Natural Language Inference What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA,

Reference 1

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Observation 76b769e6-cbe2-4501-b460-c8d733b5573e · outbound

This paper cites A Large Anno- tated Corpus for Learning Natural Language Inference,.

Multi-Granularity Reasoning for Natural Language Inference A Large Anno- tated Corpus for Learning Natural Language Inference,

Reference 2

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Observation 8997e1a8-196d-4062-b333-efe8e51c037f · outbound

This paper cites Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation.

Multi-Granularity Reasoning for Natural Language Inference Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation

Reference 3

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Observation f32d7d68-3e56-4a2d-8892-cf6be0cf7b5d · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Multi-Granularity Reasoning for Natural Language Inference Deep Residual Learning for Image Recognition,

Reference 4

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Observation b2cc700a-b944-43fe-95f0-a4fdcb74ca89 · outbound

This paper cites Enhanced LSTM for Natural Language Inference.

Multi-Granularity Reasoning for Natural Language Inference Enhanced LSTM for Natural Language Inference

Reference 5

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Observation 68bf0b51-7d36-45c5-a747-16b1566cbdfc · outbound

This paper cites Adversarial Examples for Evaluating Reading Comprehension Systems,.

Multi-Granularity Reasoning for Natural Language Inference Adversarial Examples for Evaluating Reading Comprehension Systems,

Reference 6

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Observation 011c6d65-b3fd-4ed6-8369-13f5a09944d0 · outbound

This paper cites Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.

Multi-Granularity Reasoning for Natural Language Inference Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 7

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Observation 4f72ed1f-d9e2-4c73-b322-c3a93c6f88ef · outbound

This paper cites Natural Language Inference over Interaction Space.

Multi-Granularity Reasoning for Natural Language Inference Natural Language Inference over Interaction Space

Reference 8

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Observation f9df0df0-304a-412d-aa1b-44d3de4eb07b · outbound

This paper cites Learning to Compose Task-Specific Tree Structures,.

Multi-Granularity Reasoning for Natural Language Inference Learning to Compose Task-Specific Tree Structures,

Reference 9

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Observation a8b6e9af-4b73-4be0-8420-5c642b01b109 · outbound

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

Multi-Granularity Reasoning for Natural Language Inference BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,

Reference 10

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Observation e6a3d1db-d2fe-48b7-92a8-b43706e522da · outbound

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

Multi-Granularity Reasoning for Natural Language Inference RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 11

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Observation 3727e673-6a2b-4b2e-94b6-b590294cb7e8 · outbound

This paper cites XLNet: Generalized Autoregressive Pretraining for Language Understanding,.

Multi-Granularity Reasoning for Natural Language Inference XLNet: Generalized Autoregressive Pretraining for Language Understanding,

Reference 12

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Observation 823467e3-3d46-49de-8b47-831832bad117 · outbound

This paper cites Asynchronous deep interaction network for natural language inference,.

Multi-Granularity Reasoning for Natural Language Inference Asynchronous deep interaction network for natural language inference,

Reference 13

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Observation 5fd4be53-ef36-4cca-a01a-f7545576a3ff · outbound

This paper cites Graph convolutional networks for text classification,.

Multi-Granularity Reasoning for Natural Language Inference Graph convolutional networks for text classification,

Reference 14

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Observation a84366b7-9f84-4336-8d8c-1a4ec4706bc9 · outbound

This paper cites Sentence-BERT: Sentence embeddings using siamese BERT-networks,.

Multi-Granularity Reasoning for Natural Language Inference Sentence-BERT: Sentence embeddings using siamese BERT-networks,

Reference 15

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Observation 69347c8c-379d-4117-aa08-ea2e2ba2a249 · outbound

This paper cites Semantics-Aware BERT for Language Understanding,.

Multi-Granularity Reasoning for Natural Language Inference Semantics-Aware BERT for Language Understanding,

Reference 16

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Observation 9caaf864-933b-4dd3-ac29-234c07b6dc71 · outbound

This paper cites Enhanced-RCNN: An Efficient Method for Learning Sentence Similarity,.

Multi-Granularity Reasoning for Natural Language Inference Enhanced-RCNN: An Efficient Method for Learning Sentence Similarity,

Reference 17

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Observation c381ccd6-9a9f-4f0e-b901-2097b3843246 · outbound

This paper cites CharBERT: Character-Aware Pre-Trained Language Model,.

Multi-Granularity Reasoning for Natural Language Inference CharBERT: Character-Aware Pre-Trained Language Model,

Reference 18

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Observation 7afa314b-e6cf-4cbc-b37d-b87fb2ec8f89 · outbound

This paper cites Heterogeneous Graph Transformer for Graph-to-Text Generation,.

Multi-Granularity Reasoning for Natural Language Inference Heterogeneous Graph Transformer for Graph-to-Text Generation,

Reference 19

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Observation f5eed396-c495-4643-a0f1-b9fe7bf81413 · outbound

This paper cites Graph neural networks for natural language processing: A survey,.

Multi-Granularity Reasoning for Natural Language Inference Graph neural networks for natural language processing: A survey,

Reference 20

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Observation a0acb7f1-5047-4640-884c-a2120130fd8f · outbound

This paper cites Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning.

Multi-Granularity Reasoning for Natural Language Inference Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning

Reference 21

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Observation d6b25e44-68a3-4d25-854d-c427030cdc10 · outbound

This paper cites Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories.

Multi-Granularity Reasoning for Natural Language Inference Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories

Reference 22

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Observation d60bd144-796c-442e-868f-7b25dbb27a3e · outbound

This paper cites Artificial Intelligence and Law: Risks, Research, and Limits,.

Multi-Granularity Reasoning for Natural Language Inference Artificial Intelligence and Law: Risks, Research, and Limits,

Reference 23

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Observation 72ff764d-3a56-4b70-82ec-a19cd7868577 · outbound

This paper cites Connecting the dots: Document-level relation extraction with edge-oriented graphs,.

Multi-Granularity Reasoning for Natural Language Inference Connecting the dots: Document-level relation extraction with edge-oriented graphs,

Reference 24

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Observation f6eeb0bf-519e-4f41-9034-af504119bf98 · outbound

This paper cites Enhanced Attentive Convolutional Neural Networks for Sentence Pair Modeling,.

Multi-Granularity Reasoning for Natural Language Inference Enhanced Attentive Convolutional Neural Networks for Sentence Pair Modeling,

Reference 25

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Observation d0e366c4-407c-46c9-a16b-1810c295c0fb · outbound

This paper cites Using Prior Knowledge to Guide BERT’s Attention in Semantic Textual Matching Tasks,.

Multi-Granularity Reasoning for Natural Language Inference Using Prior Knowledge to Guide BERT’s Attention in Semantic Textual Matching Tasks,

Reference 26

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Observation 57eed6e6-4be5-41fd-9482-3ad8689f2c86 · outbound

This paper cites TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing,.

Multi-Granularity Reasoning for Natural Language Inference TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing,

Reference 27

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Observation c28aef29-8867-4c8d-8d27-b7ce5049f574 · outbound

This paper cites Explainaboard: An Explainable Leaderboard for NLP,.

Multi-Granularity Reasoning for Natural Language Inference Explainaboard: An Explainable Leaderboard for NLP,

Reference 28

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Observation 227d4ddc-db31-48e8-8917-277af0b640f6 · outbound

This paper cites HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models.

Multi-Granularity Reasoning for Natural Language Inference HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models

Reference 29

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Observation 04e7bb19-c836-483d-86ec-2e73d29acef1 · outbound

This paper cites Cqg: A simple and effective controlled generation framework for multi-hop question generation.

Multi-Granularity Reasoning for Natural Language Inference Cqg: A simple and effective controlled generation framework for multi-hop question generation

Reference 30

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Observation 50126aab-f325-49ed-bf95-758af5f75980 · outbound

This paper cites Decorl: Decoupling reasoning chains via parallel sub-step generation and cascaded reinforcement for interpretable and scalable rlhf.

Multi-Granularity Reasoning for Natural Language Inference Decorl: Decoupling reasoning chains via parallel sub-step generation and cascaded reinforcement for interpretable and scalable rlhf

Reference 31

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Observation fa449b41-d248-412d-acab-feb8f462dcfb · outbound

This paper cites Transferring from formal newswire domain with hypernet for twitter pos tagging.

Multi-Granularity Reasoning for Natural Language Inference Transferring from formal newswire domain with hypernet for twitter pos tagging

Reference 32

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Observation 7e252795-b67a-47b6-8388-b87cb06276d1 · outbound

This paper cites Comateformer: Combined Attention Transformer for Semantic Sentence Matching.

Multi-Granularity Reasoning for Natural Language Inference Comateformer: Combined Attention Transformer for Semantic Sentence Matching

Reference 33

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Observation ebe3cf42-d5b1-47d4-87dd-8b69fcfcb32c · outbound

This paper cites When safety becomes a vulnerability: Exploiting llm alignment homogeneity for transferable blocking in rag.arXiv preprint arXiv:2603.03919, 2026.

Multi-Granularity Reasoning for Natural Language Inference When safety becomes a vulnerability: Exploiting llm alignment homogeneity for transferable blocking in rag.arXiv preprint arXiv:2603.03919, 2026

Reference 34

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Observation 9812bcaf-1d95-4361-a28e-ebb6ea999f91 · outbound

This paper cites Local and global: Text matching via syntax graph calibration.

Multi-Granularity Reasoning for Natural Language Inference Local and global: Text matching via syntax graph calibration

Reference 35

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Observation eed1f58d-3819-49cc-969b-54dc7bc732c4 · outbound

This paper cites TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning.

Multi-Granularity Reasoning for Natural Language Inference TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning

Reference 36

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Observation 228f18f6-0484-4158-839d-dce90948b780 · outbound

This paper cites Adaptive multi-attention network incorporating answer information for duplicate question detection.

Multi-Granularity Reasoning for Natural Language Inference Adaptive multi-attention network incorporating answer information for duplicate question detection

Reference 37

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Observation 1cf972b0-e7e9-442b-ab4a-336c19442bf3 · outbound

This paper cites Who stole your data? a method for detecting unauthorized rag theft.arXiv preprint arXiv:2510.07728, 2025.

Multi-Granularity Reasoning for Natural Language Inference Who stole your data? a method for detecting unauthorized rag theft.arXiv preprint arXiv:2510.07728, 2025

Reference 38

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Observation 9244888e-28cc-441d-9c17-2b6b378843ad · outbound

This paper cites Dpi: Exploiting parameter heterogeneity for interference-free fine-tuning.arXiv preprint arXiv:2601.17777, 2026.

Multi-Granularity Reasoning for Natural Language Inference Dpi: Exploiting parameter heterogeneity for interference-free fine-tuning.arXiv preprint arXiv:2601.17777, 2026

Reference 39

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Observation 67b0b80e-5890-4192-aa9b-d70b81e07f12 · outbound

This paper cites Structural reward model: Enhancing interpretability, efficiency, and scalability in reward modeling.

Multi-Granularity Reasoning for Natural Language Inference Structural reward model: Enhancing interpretability, efficiency, and scalability in reward modeling

Reference 40

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Observation d62ecf96-ed6c-4b00-98f4-5f4c65c0b0cf · outbound

This paper cites Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference.

Multi-Granularity Reasoning for Natural Language Inference Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference

Reference 41

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Observation 52b77915-adca-412b-87ab-c10e97a12dfd · outbound

This paper cites Time-aware multiway adaptive fusion network for temporal knowledge graph question answering.

Multi-Granularity Reasoning for Natural Language Inference Time-aware multiway adaptive fusion network for temporal knowledge graph question answering

Reference 42

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Observation 72766710-682d-43f0-a8a8-d12a620bc852 · outbound

This paper cites Local and global: Temporal question answering via information fusion.

Multi-Granularity Reasoning for Natural Language Inference Local and global: Temporal question answering via information fusion

Reference 43

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Observation 24eeec5a-809b-4e6a-90cf-35dd6f1e9f9b · outbound

This paper cites Searching for Optimal Subword Tokenization in Cross-domain NER.

Multi-Granularity Reasoning for Natural Language Inference Searching for Optimal Subword Tokenization in Cross-domain NER

Reference 44

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Observation eac87d53-6034-467b-b84b-c0b07577d8ad · outbound

This paper cites Adaptive curriculum strategies: Stabilizing reinforcement learning for large language models.

Multi-Granularity Reasoning for Natural Language Inference Adaptive curriculum strategies: Stabilizing reinforcement learning for large language models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-12T19:07:54.710156Z

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Observation 1a42b2f3-f121-42ba-84ec-18ba28119c6b · outbound

This paper cites Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion.

Multi-Granularity Reasoning for Natural Language Inference Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion

Reference 46

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Observation 4739888d-f56f-4372-b996-1572db8e859c · outbound

This paper cites Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation.

Multi-Granularity Reasoning for Natural Language Inference Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation

Reference 47

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Observation 482888c6-9736-4e35-a142-e5e256b9ed5d · outbound

This paper cites Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization.

Multi-Granularity Reasoning for Natural Language Inference Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization

Reference 48

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Observation 0d6ecccb-c4fe-4bc6-8a74-9aafca031264 · outbound

This paper cites DABERT: Dual Attention Enhanced BERT for Semantic Matching.

Multi-Granularity Reasoning for Natural Language Inference DABERT: Dual Attention Enhanced BERT for Semantic Matching

Reference 49

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Observation 6edb06e4-b966-423c-b942-6e88f2342223 · outbound

This paper cites Not all parameters are created equal: Smart isolation boosts fine-tuning performance.arXiv preprint arXiv:2508.21741, 2025.

Multi-Granularity Reasoning for Natural Language Inference Not all parameters are created equal: Smart isolation boosts fine-tuning performance.arXiv preprint arXiv:2508.21741, 2025

Reference 50

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Observation 49f7204f-3d94-4c12-bf6b-fbaa660f5708 · outbound

This paper cites Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning.

Multi-Granularity Reasoning for Natural Language Inference Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning

Reference 51

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Observation c7364aa9-18bf-4f0c-9d3e-8f36ddf5337e · outbound

This paper cites Breaking size barrier: Enhancing reasoning for large-size table question answering.

Multi-Granularity Reasoning for Natural Language Inference Breaking size barrier: Enhancing reasoning for large-size table question answering

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-12T19:07:54.710156Z

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Observation f9d881d1-b1f6-4c8e-a687-7785723a10f0 · outbound

This paper cites Mmtablebench: A multi-level multimodal benchmark for reasoning and layout complexity in table qa.

Multi-Granularity Reasoning for Natural Language Inference Mmtablebench: A multi-level multimodal benchmark for reasoning and layout complexity in table qa

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-12T19:07:54.710156Z

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Observation 30a2661a-311d-4a5f-a5c2-f64f9dafa418 · outbound

This paper cites Tablebench: A comprehensive and complex benchmark for table ques- tion answering.

Multi-Granularity Reasoning for Natural Language Inference Tablebench: A comprehensive and complex benchmark for table ques- tion answering

Reference 54

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Observation b9e09c8c-d2b7-4064-a617-ac594a877488 · outbound

This paper cites Unleashing potential of evidence in knowledge-intensive dialogue generation.

Multi-Granularity Reasoning for Natural Language Inference Unleashing potential of evidence in knowledge-intensive dialogue generation

Reference 55

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Observation d08142ef-6653-4453-8f08-d83f15c0cccf · outbound

This paper cites Question calibration and multi-hop modeling for temporal question answering.

Multi-Granularity Reasoning for Natural Language Inference Question calibration and multi-hop modeling for temporal question answering

Reference 56

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Observation e5a99dff-35da-4fcd-b234-e8fa929b685e · outbound

This paper cites Dual path modeling for semantic matching by perceiving subtle conflicts.

Multi-Granularity Reasoning for Natural Language Inference Dual path modeling for semantic matching by perceiving subtle conflicts

Reference 57

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Observation 338ad014-d7d3-479d-9c46-f24a5ea390d5 · outbound

This paper cites Robust Lottery Tickets for Pre-trained Language Models.

Multi-Granularity Reasoning for Natural Language Inference Robust Lottery Tickets for Pre-trained Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-12T19:07:54.710156Z

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Observation 28c7eeda-b3da-4893-bfb6-e8b71a96f70f · outbound

This paper cites Parameter importance is not static: Evolving parameter isolation for supervised fine-tuning, 2026.

Multi-Granularity Reasoning for Natural Language Inference Parameter importance is not static: Evolving parameter isolation for supervised fine-tuning, 2026

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-12T19:07:54.710156Z

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Observation 7655dc5d-87bb-4aac-bdb8-72e0a3a1ed53 · outbound

This paper cites Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty.

Multi-Granularity Reasoning for Natural Language Inference Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-12T19:07:54.710156Z

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Observation aa44e228-1657-46cf-bf9f-6317b8d1d4c3 · outbound

This paper cites Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models.

Multi-Granularity Reasoning for Natural Language Inference Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-12T19:07:54.710156Z

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