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20242026
most citedRetrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2026

TRACE: Trajectory Selection for Parallel Scaling of Search Agents

Qisheng Zhou, Zhen Xiong, Qiaoyu Tan

Parallel search may generate a correct answer that final-answer voting fails to select. We formulate this consolidation stage as trajectory selection and introduce TRACE (Trajector…

cs.AI2026

EASE: Behavior-Adaptive Skill Curation for Self-Evolving Agents

Zhen Xiong, Qiaoyu Tan

Agent skills provide a lightweight mechanism for self-evolving agents to accumulate reusable procedural knowledge without updating model parameters. However, existing learned skill…

cs.AI2026

Online Skill Learning for Web Agents via State-Grounded Dynamic Retrieval

Jiaxi Li, Ke Deng, Yun Wang +5

Language agents increasingly rely on reusable skills to improve multi-step web automation across related tasks. A growing line of work studies online skill learning, where agents c…

cs.LG2025

CrystalICL: Enabling In-Context Learning for Crystal Generation

Ruobing Wang, Qiaoyu Tan, Yili Wang +2

Designing crystal materials with desired physicochemical properties remains a fundamental challenge in materials science. While large language models (LLMs) have demonstrated stron…

cs.CV2025

Concept-Centric Token Interpretation for Vector-Quantized Generative Models

Tianze Yang, Yucheng Shi, Mengnan Du +4

Vector-Quantized Generative Models (VQGMs) have emerged as powerful tools for image generation. However, the key component of VQGMs -- the codebook of discrete tokens -- is still n…

cs.CL2024★ 1 cited

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering

Yucheng Shi, Qiaoyu Tan, Xuansheng Wu +3

Large Language Models (LLMs) have shown proficiency in question-answering tasks but often struggle to integrate real-time knowledge, leading to potentially outdated or inaccurate r…