Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Chiwei, Xu, Benfeng, Yang, An, Lin, Junyang, Wang, Quan, Zhou, Chang, Mao, Zhendong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding
by: Zhu, Chiwei, et al.
Published: (2025)
by: Zhu, Chiwei, et al.
Published: (2025)
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
by: Xu, Benfeng, et al.
Published: (2023)
by: Xu, Benfeng, et al.
Published: (2023)
Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach
by: Li, Ruizhe, et al.
Published: (2025)
by: Li, Ruizhe, et al.
Published: (2025)
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
by: Du, Mingxuan, et al.
Published: (2025)
by: Du, Mingxuan, et al.
Published: (2025)
MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools
by: Guo, Zikang, et al.
Published: (2025)
by: Guo, Zikang, et al.
Published: (2025)
DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Report
by: Li, Ruizhe, et al.
Published: (2026)
by: Li, Ruizhe, et al.
Published: (2026)
A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
by: Du, Mingxuan, et al.
Published: (2026)
by: Du, Mingxuan, et al.
Published: (2026)
FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents
by: Zhu, Chiwei, et al.
Published: (2026)
by: Zhu, Chiwei, et al.
Published: (2026)
WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora
by: Wang, Pengyu, et al.
Published: (2026)
by: Wang, Pengyu, et al.
Published: (2026)
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions
by: Chen, Yihan, et al.
Published: (2024)
by: Chen, Yihan, et al.
Published: (2024)
Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles
by: Wang, Shaohan, et al.
Published: (2026)
by: Wang, Shaohan, et al.
Published: (2026)
Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales
by: Yan, Jianzhi, et al.
Published: (2025)
by: Yan, Jianzhi, et al.
Published: (2025)
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction
by: Jiang, Han, et al.
Published: (2024)
by: Jiang, Han, et al.
Published: (2024)
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
by: Zhou, Zhanke, et al.
Published: (2024)
by: Zhou, Zhanke, et al.
Published: (2024)
An Index-based Approach for Efficient and Effective Web Content Extraction
by: Chen, Yihan, et al.
Published: (2025)
by: Chen, Yihan, et al.
Published: (2025)
Investigating the Impact of Rationales for LLMs on Natural Language Understanding
by: Shi, Wenhang, et al.
Published: (2025)
by: Shi, Wenhang, et al.
Published: (2025)
Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking
by: Chen, Yihan, et al.
Published: (2025)
by: Chen, Yihan, et al.
Published: (2025)
Rationale-based Opinion Summarization
by: Li, Haoyuan, et al.
Published: (2024)
by: Li, Haoyuan, et al.
Published: (2024)
Capturing Visualization Design Rationale
by: Hutchinson, Maeve, et al.
Published: (2025)
by: Hutchinson, Maeve, et al.
Published: (2025)
Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
by: Jang, Joonwon, et al.
Published: (2024)
by: Jang, Joonwon, et al.
Published: (2024)
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models
by: Wang, Wei, et al.
Published: (2024)
by: Wang, Wei, et al.
Published: (2024)
How Ambiguous Are the Rationales for Natural Language Reasoning? A Simple Approach to Handling Rationale Uncertainty
by: Kim, Hazel H.
Published: (2024)
by: Kim, Hazel H.
Published: (2024)
Structural Rationale Distillation via Reasoning Space Compression
by: Yang, Jialin, et al.
Published: (2026)
by: Yang, Jialin, et al.
Published: (2026)
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs
by: Chu, SeongYeub, et al.
Published: (2024)
by: Chu, SeongYeub, et al.
Published: (2024)
Enhancing Relation Extraction via Supervised Rationale Verification and Feedback
by: Li, Yongqi, et al.
Published: (2024)
by: Li, Yongqi, et al.
Published: (2024)
RORA: Robust Free-Text Rationale Evaluation
by: Jiang, Zhengping, et al.
Published: (2024)
by: Jiang, Zhengping, et al.
Published: (2024)
Efficient End-to-End Visual Document Understanding with Rationale Distillation
by: Zhu, Wang, et al.
Published: (2023)
by: Zhu, Wang, et al.
Published: (2023)
RDRec: Rationale Distillation for LLM-based Recommendation
by: Wang, Xinfeng, et al.
Published: (2024)
by: Wang, Xinfeng, et al.
Published: (2024)
Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales
by: Cao, Jun, et al.
Published: (2025)
by: Cao, Jun, et al.
Published: (2025)
Evaluating Human Alignment and Model Faithfulness of LLM Rationale
by: Fayyaz, Mohsen, et al.
Published: (2024)
by: Fayyaz, Mohsen, et al.
Published: (2024)
Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning
by: Zhu, Tinghui, et al.
Published: (2024)
by: Zhu, Tinghui, et al.
Published: (2024)
Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models
by: Niu, Shuai, et al.
Published: (2024)
by: Niu, Shuai, et al.
Published: (2024)
Everything is Plausible: Investigating the Impact of LLM Rationales on Human Notions of Plausibility
by: Palta, Shramay, et al.
Published: (2025)
by: Palta, Shramay, et al.
Published: (2025)
Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation
by: Wu, Junhong, et al.
Published: (2024)
by: Wu, Junhong, et al.
Published: (2024)
Rationale-Aware Answer Verification by Pairwise Self-Evaluation
by: Kawabata, Akira, et al.
Published: (2024)
by: Kawabata, Akira, et al.
Published: (2024)
Self-Explaining Hate Speech Detection with Moral Rationales
by: Vargas, Francielle, et al.
Published: (2026)
by: Vargas, Francielle, et al.
Published: (2026)
RATIONALYST: Mining Implicit Rationales for Process Supervision of Reasoning
by: Jiang, Dongwei, et al.
Published: (2024)
by: Jiang, Dongwei, et al.
Published: (2024)
Model Interpretability and Rationale Extraction by Input Mask Optimization
by: Brinner, Marc, et al.
Published: (2025)
by: Brinner, Marc, et al.
Published: (2025)
Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring
by: Li, Jiazheng, et al.
Published: (2024)
by: Li, Jiazheng, et al.
Published: (2024)
Similar Items
-
From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding
by: Zhu, Chiwei, et al.
Published: (2025) -
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
by: Xu, Benfeng, et al.
Published: (2023) -
Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach
by: Li, Ruizhe, et al.
Published: (2025) -
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
by: Du, Mingxuan, et al.
Published: (2025) -
MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools
by: Guo, Zikang, et al.
Published: (2025)