Yanghua Xiao

A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models

Higher-Order Cognitive Chain-of-Thought Is Enough: Evaluation, Analysis, and Optimization

Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs

Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking

INSEva: A Comprehensive Chinese Benchmark for Large Language Models in Insurance

Text-to-SQL Benchmarks for Enterprise Realities: Under Massive Scopes, Complex Schemas and Scattered Knowledge

HINT: Helping Ineffective Rollouts Navigate Towards Effectiveness

RL Beats SFT while Mitigating Definition Bias in LLM-based Information Extraction

Bridging the Preference Gap: Post-Training Input Rewriting with Large Language Models

ARM: Adaptive Reasoning Model

ARIA: Training Language Agents with Intention-driven Reward Aggregation

Accelerated Evolving Set Processes for Local PageRank Computation

Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models

CoSER: Coordinating LLM-Based Persona Simulation of Established Roles

Do Large Language Models have Lateral Thinking in Puzzle-Solving Games?