Self-Contradictory Reasoning Evaluation and Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Ziyi, Sanyal, Soumya, Lee, Isabelle, Du, Yongkang, Gupta, Rahul, Liu, Yang, Zhao, Jieyu |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FairCoder: Evaluating Social Bias of LLMs in Code Generation
by: Du, Yongkang, et al.
Published: (2025)
by: Du, Yongkang, et al.
Published: (2025)
Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Cultural Intelligence with CQ-Bench
by: Liu, Ziyi, et al.
Published: (2025)
by: Liu, Ziyi, et al.
Published: (2025)
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification
by: Sanyal, Soumya, et al.
Published: (2024)
by: Sanyal, Soumya, et al.
Published: (2024)
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base
by: Song, Linxin, et al.
Published: (2025)
by: Song, Linxin, et al.
Published: (2025)
Causal Interventions on Causal Paths: Mapping GPT-2's Reasoning From Syntax to Semantics
by: Lee, Isabelle, et al.
Published: (2024)
by: Lee, Isabelle, et al.
Published: (2024)
Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations
by: Chiang, Cheng-Han, et al.
Published: (2024)
by: Chiang, Cheng-Han, et al.
Published: (2024)
Video-Based Reward Modeling for Computer-Use Agents
by: Song, Linxin, et al.
Published: (2026)
by: Song, Linxin, et al.
Published: (2026)
When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning?
by: Liang, Tuo, et al.
Published: (2025)
by: Liang, Tuo, et al.
Published: (2025)
ProMediate: A Socio-cognitive framework for evaluating proactive agents in multi-party negotiation
by: Liu, Ziyi, et al.
Published: (2025)
by: Liu, Ziyi, et al.
Published: (2025)
AI Sees Your Location, But With A Bias Toward The Wealthy World
by: Huang, Jingyuan, et al.
Published: (2025)
by: Huang, Jingyuan, et al.
Published: (2025)
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction
by: Sheng, Huanxin, et al.
Published: (2025)
by: Sheng, Huanxin, et al.
Published: (2025)
Red Teaming Language Models for Processing Contradictory Dialogues
by: Wen, Xiaofei, et al.
Published: (2024)
by: Wen, Xiaofei, et al.
Published: (2024)
DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels
by: Xu, Zhe, et al.
Published: (2024)
by: Xu, Zhe, et al.
Published: (2024)
RASPRef: Retrieval-Augmented Self-Supervised Prompt Refinement for Large Reasoning Models
by: Soni, Rahul
Published: (2026)
by: Soni, Rahul
Published: (2026)
A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems
by: Sato, Shiki, et al.
Published: (2024)
by: Sato, Shiki, et al.
Published: (2024)
NEAT: Neuron-Based Early Exit for Large Reasoning Models
by: Liu, Kang, et al.
Published: (2026)
by: Liu, Kang, et al.
Published: (2026)
Evaluate What You Can't Evaluate: Unassessable Quality for Generated Response
by: Liu, Yongkang, et al.
Published: (2023)
by: Liu, Yongkang, et al.
Published: (2023)
Faithful Model Evaluation for Model-Based Metrics
by: Goyal, Palash, et al.
Published: (2023)
by: Goyal, Palash, et al.
Published: (2023)
Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models
by: Wang, Changyue, et al.
Published: (2025)
by: Wang, Changyue, et al.
Published: (2025)
Deep Self-Evolving Reasoning
by: Liu, Zihan, et al.
Published: (2025)
by: Liu, Zihan, et al.
Published: (2025)
m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks
by: Ma, Zixian, et al.
Published: (2024)
by: Ma, Zixian, et al.
Published: (2024)
EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generation
by: Wang, Xinda, et al.
Published: (2025)
by: Wang, Xinda, et al.
Published: (2025)
Crosslingual On-Policy Self-Distillation for Multilingual Reasoning
by: Liu, Yihong, et al.
Published: (2026)
by: Liu, Yihong, et al.
Published: (2026)
Better, Faster: Harnessing Self-Improvement in Large Reasoning Models
by: Zhong, Qihuang, et al.
Published: (2026)
by: Zhong, Qihuang, et al.
Published: (2026)
Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment
by: Dey, Priyanka, et al.
Published: (2025)
by: Dey, Priyanka, et al.
Published: (2025)
Can Deception Detection Go Deeper? Dataset, Evaluation, and Benchmark for Deception Reasoning
by: Chen, Kang, et al.
Published: (2024)
by: Chen, Kang, et al.
Published: (2024)
Pixel-Level Reasoning Segmentation via Multi-turn Conversations
by: Cai, Dexian, et al.
Published: (2025)
by: Cai, Dexian, et al.
Published: (2025)
The Hallucination Tax of Reinforcement Finetuning
by: Song, Linxin, et al.
Published: (2025)
by: Song, Linxin, et al.
Published: (2025)
D-REX: A Benchmark for Detecting Deceptive Reasoning in Large Language Models
by: Krishna, Satyapriya, et al.
Published: (2025)
by: Krishna, Satyapriya, et al.
Published: (2025)
SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models
by: Xu, Zixiang, et al.
Published: (2025)
by: Xu, Zixiang, et al.
Published: (2025)
Deliberate Planning in Language Models with Symbolic Representation
by: Xiong, Siheng, et al.
Published: (2025)
by: Xiong, Siheng, et al.
Published: (2025)
Evaluating Mathematical Reasoning Beyond Accuracy
by: Xia, Shijie, et al.
Published: (2024)
by: Xia, Shijie, et al.
Published: (2024)
Superficial Self-Improved Reasoners Benefit from Model Merging
by: Yuan, Xiangchi, et al.
Published: (2025)
by: Yuan, Xiangchi, et al.
Published: (2025)
A State-Update Prompting Strategy for Efficient and Robust Multi-turn Dialogue
by: Liu, Ziyi
Published: (2025)
by: Liu, Ziyi
Published: (2025)
See, Think, Learn: A Self-Taught Multimodal Reasoner
by: Sharma, Sourabh, et al.
Published: (2025)
by: Sharma, Sourabh, et al.
Published: (2025)
START: Self-taught Reasoner with Tools
by: Li, Chengpeng, et al.
Published: (2025)
by: Li, Chengpeng, et al.
Published: (2025)
MUSE: Machine Unlearning Six-Way Evaluation for Language Models
by: Shi, Weijia, et al.
Published: (2024)
by: Shi, Weijia, et al.
Published: (2024)
Self-Evaluation of Large Language Model based on Glass-box Features
by: Huang, Hui, et al.
Published: (2024)
by: Huang, Hui, et al.
Published: (2024)
CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)
by: Liu, Changshu, et al.
Published: (2024)
CHBench: A Cognitive Hierarchy Benchmark for Evaluating Strategic Reasoning Capability of LLMs
by: Liu, Hongtao, et al.
Published: (2025)
by: Liu, Hongtao, et al.
Published: (2025)
Similar Items
-
FairCoder: Evaluating Social Bias of LLMs in Code Generation
by: Du, Yongkang, et al.
Published: (2025) -
Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Cultural Intelligence with CQ-Bench
by: Liu, Ziyi, et al.
Published: (2025) -
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification
by: Sanyal, Soumya, et al.
Published: (2024) -
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base
by: Song, Linxin, et al.
Published: (2025) -
Causal Interventions on Causal Paths: Mapping GPT-2's Reasoning From Syntax to Semantics
by: Lee, Isabelle, et al.
Published: (2024)