activity
20242026
collaborators

5 papers

cs.CL2026

Query Your Way Out: Benchmarking Multi-Turn Knowledge Reasoning through Generalized Puzzle Solving

Xin Cheng, Junming Yang, Ning Xu

Puzzles offer a natural testbed for Large Language Models (LLMs) reasoning because they pose verifiable goals under partial information and require multi-step decisions to reach a…

cs.CL2026

Dream-RSI: Recursive Self-Improvement through Evolving Worlds

Tong Zheng, Xidong Wu, Zheng Zhang +14

Recursive self-improvement is becoming essential for autonomous AI agents, whose progress depends on discovering high-value solutions across complex domains. Effective exploration…

cs.IR2026

AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization

Xidong Wu, Yue Zhuan, Ruoqiao Wei +7

Modern large-scale recommendation systems are typically constructed as multi-stage pipelines, encompassing pre-ranking, ranking, and re-ranking phases. While traditional recommenda…

cs.LG2025

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs

Chenchen Zhao, Zhengyuan Shi, Xiangyu Wen +19

The emergence of multimodal large language models (MLLMs) presents promising opportunities for automation and enhancement in Electronic Design Automation (EDA). However, comprehens…

cs.AR2024

ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model

Ning Xu, Zhaoyang Zhang, Lei Qi +17

The field of integrated circuit (IC) design is highly specialized, presenting significant barriers to entry and research and development challenges. Although large language models…