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20242026
most citedPrior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval

19 citations · 19 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

Molecular LLM Agents: From Architectural Design to Scientific Autonomy

Jiatong Li, Wengyu Zhang, Weida Wang +8

Molecular science represents an important frontier for LLM-based agents. Unlike general agents that mainly operate over natural language, code, or web environments, molecular LLM a…

cs.CL2026

Meta-Moderator: Empowering Multi-Agent Debate with Meta-Cognition

Wentao Hu, Zhuoyue Wan, Jinhao Shen +3

Multi-agent debate can improve large language model reasoning by eliciting diverse hypotheses and critiques, yet its performance is often constrained by weak moderation. Common pip…

cs.CE2026

Chemical Chain-of-Thought Functions as a Hallucination-Prone Molecular Scratchpad

Jiatong Li, Yuxuan Ren, Weida Wang +2

Chemical reasoning language models are expected to derive molecular answers through faithful chain-of-thought (CoT). However, across four reasoning model families and twelve chemis…

cs.LG2026

Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies

Luyu Qiu, Jianing Li, Hwanhee Kim +4

Transformer-based large language models (LLMs) continue to achieve state-of-the-art performance across various natural language processing tasks. However, their subpar performance…

cs.DB2026

DataClaw: An Autonomous Data Agent with Instant Messaging Integration

Huahang Li, Wentao Hu, Zhuoyue Wan +3

In daily life, there are many scenarios that people need to tackle data-related tasks, such as filling out forms, analyzing Excel files, and visualize data report. However, the too…

cs.CV2026

OmniColor: A Unified Framework for Multi-modal Lineart Colorization

Xulu Zhang, Haoqian Du, Xiaoyong Wei +1

Lineart colorization is a critical stage in professional content creation, yet achieving precise and flexible results under diverse user constraints remains a significant challenge…