:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Xiaoyuan, Bao, Keqin, Ma, Yubo, Li, Moxin, Wang, Wenjie, Men, Rui, Zhang, Yichang, Feng, Fuli, Liu, Dayiheng
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	https://arxiv.org/abs/2505.17123
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning
par: Li, Xiaoyuan, et autres
Publié: (2025)

MathOPEval: A Fine-grained Evaluation Benchmark for Visual Operations of MLLMs in Mathematical Reasoning
par: Li, Xiaoyuan, et autres
Publié: (2025)

SAGE: Scalable Automated Robustness Augmentation for LLM Knowledge Evaluation
par: Li, Xiaoyuan, et autres
Publié: (2026)

ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning
par: Li, Xiaoyuan, et autres
Publié: (2026)

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
par: Li, Xiaoyuan, et autres
Publié: (2026)

On Predicting the Post-training Potential of Pre-trained LLMs
par: Li, Xiaoyuan, et autres
Publié: (2026)

Unified Data Selection for LLM Reasoning
par: Li, Xiaoyuan, et autres
Publié: (2026)

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
par: Li, Xiaoyuan, et autres
Publié: (2024)

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code
par: Bao, Keqin, et autres
Publié: (2025)

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
par: Li, Moxin, et autres
Publié: (2024)

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs
par: Fang, Yi, et autres
Publié: (2024)

Chain of Execution Supervision Promotes General Reasoning in Large Language Models
par: Chen, Nuo, et autres
Publié: (2025)

MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models
par: Zhang, He, et autres
Publié: (2025)

Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
par: Li, Moxin, et autres
Publié: (2025)

TurnBench-MS: A Benchmark for Evaluating Multi-Turn, Multi-Step Reasoning in Large Language Models
par: Zhang, Yiran, et autres
Publié: (2025)

Robust Prompt Optimization for Large Language Models Against Distribution Shifts
par: Li, Moxin, et autres
Publié: (2023)

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering
par: Fang, Yi, et autres
Publié: (2026)

Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge
par: Liu, Zhuo, et autres
Publié: (2025)

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data
par: Zhu, Fengbin, et autres
Publié: (2024)

MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks
par: Ruan, Junhao, et autres
Publié: (2026)

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs
par: Zhu, Fengbin, et autres
Publié: (2023)

Consistency of Large Reasoning Models Under Multi-Turn Attacks
par: Li, Yubo, et autres
Publié: (2026)

StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns
par: Wan, Luanbo, et autres
Publié: (2025)

Prospect Personalized Recommendation on Large Language Model-based Agent Platform
par: Zhang, Jizhi, et autres
Publié: (2024)

KnowMT-Bench: Benchmarking Knowledge-Intensive Long-Form Question Answering in Multi-Turn Dialogues
par: Chen, Junhao, et autres
Publié: (2025)

Teaching Language Models to Reason with Tools
par: Li, Chengpeng, et autres
Publié: (2025)

Dual-Phase Accelerated Prompt Optimization
par: Yang, Muchen, et autres
Publié: (2024)

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents
par: Men, Tianyi, et autres
Publié: (2025)

RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
par: Jin, Zhuoran, et autres
Publié: (2024)

ClarifyMT-Bench: Benchmarking and Improving Multi-Turn Clarification for Conversational Large Language Models
par: Luo, Sichun, et autres
Publié: (2025)

BioProBench: Comprehensive Dataset and Benchmark in Biological Protocol Understanding and Reasoning
par: Liu, Yuyang, et autres
Publié: (2025)

CoRT: Code-integrated Reasoning within Thinking
par: Li, Chengpeng, et autres
Publié: (2025)

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
par: Wang, Fei, et autres
Publié: (2024)

EffiReason-Bench: A Unified Benchmark for Evaluating and Advancing Efficient Reasoning in Large Language Models
par: Huang, Junquan, et autres
Publié: (2025)

CCR-Bench: A Comprehensive Benchmark for Evaluating LLMs on Complex Constraints, Control Flows, and Real-World Cases
par: Xue, Xiaona, et autres
Publié: (2026)

AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment
par: Xiao, Jianfei, et autres
Publié: (2026)

Direct Multi-Turn Preference Optimization for Language Agents
par: Shi, Wentao, et autres
Publié: (2024)

UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models
par: Zheng, Yu, et autres
Publié: (2025)

JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese Large Language Models
par: Liu, Junyu, et autres
Publié: (2026)

Medical Reasoning with Large Language Models: A Survey and MR-Bench
par: Ren, Xiaohan, et autres
Publié: (2026)