collaborators

7 papers

cs.CL2025

CRMWeaver: Building Powerful Business Agent via Agentic RL and Shared Memories

Yilong Lai, Yipin Yang, Ting Liang +4

Recent years have witnessed the rapid development of LLM-based agents, which shed light on using language agents to solve complex real-world problems. A prominent application lies…

cs.CV2025

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism

Congzhi Zhang, Jiawei Peng, Zhenglin Wang +5

Large Vision-Language Models (LVLMs) have shown exceptional performance in multimodal tasks, but their effectiveness in complex visual reasoning is still constrained, especially wh…

cs.CL2025

AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation

Yilong Lai, Jialong Wu, Zhenglin Wang +1

Prompting-based conversational query reformulation has emerged as a powerful approach for conversational search, refining ambiguous user queries into standalone search queries. Bes…

cs.CL2024

SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation

Jialong Wu, Zhenglin Wang, Linhai Zhang +3

Key-Value (KV) cache has become a bottleneck of LLMs for long-context generation. Despite the numerous efforts in this area, the optimization for the decoding phase is generally ig…

cs.CL2024

AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment

Yilong Lai, Jialong Wu, Congzhi Zhang +2

Conversational Query Reformulation (CQR) has significantly advanced in addressing the challenges of conversational search, particularly those stemming from the latent user intent a…

cs.CL2024

SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding

Zhenglin Wang, Jialong Wu, Yilong Lai +2

Large Language Models (LLMs) demonstrate remarkable emergent abilities across various tasks, yet fall short of complex reasoning and planning tasks. The tree-search-based reasoning…

cs.CL2024

Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization

Yanyue Zhang, Pengfei Li, Yilong Lai +2

As more than 70 of reviews in the existing opinion summary data set are positive, current opinion summarization approaches are reluctant to generate negative summaries given th…