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20232026
most citedSimple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval

30 citations · 84 across the 69 of their papers we have counts for

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17 papers · 1 filter

cs.CL2026

GenRubric: Self-Evolving Rubric Generation for Scalable LLM Evaluation

Yifan Chen, Haitao Li, Qingyao Ai +4

Large language models are increasingly used as scalable evaluators for open-ended tasks. However, many LLM judges derive query-specific criteria during scoring, leaving the evaluat…

cs.CL2026

Metis: Memory Foundation Model

Zeyu Zhang, Ziliang Guo, Yihang Sun +14

Recent advances in AI agents have increasingly internalized native capabilities into their underlying foundation models, giving rise to multimodal foundation models and large reaso…

cs.CL2025

Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation

Chengbing Wang, Yang Zhang, Wenjie Wang +4

Preference alignment has enabled large language models (LLMs) to better reflect human expectations, but current methods mostly optimize for population-level preferences, overlookin…

cs.CL2025

SteerX: Disentangled Steering for LLM Personalization

Xiaoyan Zhao, Ming Yan, Yilun Qiu +5

Large language models (LLMs) have shown remarkable success in recent years, enabling a wide range of applications, including intelligent assistants that support users' daily life a…

cs.CL2025

FinDeepResearch: Evaluating Deep Research Agents in Rigorous Financial Analysis

Fengbin Zhu, Xiang Yao Ng, Ziyang Liu +19

Deep Research (DR) agents, powered by advanced Large Language Models (LLMs), have recently garnered increasing attention for their capability in conducting complex research tasks.…

cs.CL2025

VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation

Ziang Ye, Yang Zhang, Wentao Shi +3

Graphical User Interface (GUI) agents powered by Large Vision-Language Models (LVLMs) have emerged as a revolutionary approach to automating human-machine interactions, capable of…