activity
20232026
most citedTowards Better Chain-of-Thought Prompting Strategies: A Survey

25 citations · 34 across the 22 of their papers we have counts for

collaborators
Showing cs.CLShow all

17 papers · 1 filter

cs.CL2026

OpenVisTool: An Open Recipe for Synthesizing Instructive Visual Tool-Use Trajectories

Changhao Xiang, Shilin Zhang, Zheng Ma +8

Visual tool use has emerged as a fundamental capability for multimodal agents to actively acquire evidence beyond a fixed image encoding. The prevailing recipe learns this capabili…

cs.CL2026

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning

Yuhang Wu, Xiangqing Shen, Fanfan Wang +4

Rerankers play a pivotal role in refining retrieval results for Retrieval-Augmented Generation. However, current reranking models are typically optimized on static human annotated…

cs.CL2025

Persona-Aware Alignment Framework for Personalized Dialogue Generation

Guanrong Li, Xinyu Liu, Zhen Wu +1

Personalized dialogue generation aims to leverage persona profiles and dialogue history to generate persona-relevant and consistent responses. Mainstream models typically rely on t…

cs.CL2025

RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios

Fei Zhao, Chengqiang Lu, Yufan Shen +9

While various multimodal multi-image evaluation datasets have been emerged, but these datasets are primarily based on English, and there has yet to be a Chinese multi-image dataset…

cs.CL2025

LatentCRS: A Variational EM Framework for Bridging Semantics and Behavior in LLM-based Conversational Recommendation

Guanrong Li, Kuo Tian, Jinnan Qi +4

Conversational Recommender Systems (CRS) powered by Large Language Models (LLMs) enable users to articulate explicit and dynamic preferences, overcoming the limitations of fixed te…

cs.CL2025

PersuasiveToM: A Benchmark for Evaluating Machine Theory of Mind in Persuasive Dialogues

Fangxu Yu, Lai Jiang, Shenyi Huang +2

The ability to understand and predict the mental states of oneself and others, known as the Theory of Mind (ToM), is crucial for effective social scenarios. Although recent studies…