works on

From the 1 of 16 linked papers with an AI index.

activity
20242026
collaborators

16 papers

cs.AI2026

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models

Yubo Wang, Jiarong Liang, Yuxuan Zhang +5

The paper introduces a function-aware fill-in-the-middle (FIM) mid‑training method that masks function calls in code to improve coding agents' ability to incorporate tool outputs,…

cs.CV2026

Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation

Haozhe Wang, Weijia Feng, Jinpeng Yu +8

Visual generators excel at rendering, but they confidently fabricate what they do not know. User requests are unbounded, evolving, and deeply long-tailed: new characters, trending…

cs.CV2026

Starve to Perceive: Taming Lazy Perception in VLMs with Constrained Visual Bandwidth

Yuhuan Wu, Cong Wei, Fangzhen Lin +2

Vision-Language Models (VLMs) deployed as situated agents in high-resolution visual environments require active perception -- the ability to dynamically decide where to look throug…

cs.CV2026

UniVideo: Unified Understanding, Generation, and Editing for Videos

Cong Wei, Quande Liu, Zixuan Ye +5

Unified multimodal models have shown promising results in multimodal content generation and editing but remain largely limited to the image domain. In this work, we present UniVide…

cs.AI2026

RewardHarness: Self-Evolving Agentic Post-Training

Yuxuan Zhang, Penghui Du, Bo Li +11

Evaluating instruction-guided image edits requires rewards that reflect subtle human preferences, yet current reward models typically depend on large-scale preference annotation an…

cs.IR2026

Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction

Zhuofeng Li, Haoxiang Zhang, Cong Wei +16

Modern retrieval systems, whether lexical or semantic, expose a corpus through a fixed similarity interface that compresses access into a single top-k retrieval step before reasoni…