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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.AI2026

Reward-Free Evolving Agents via Pairwise Validator

Minghao Liu, Yu Wang, Jiayun Wang +1

The paper introduces a reward‑free approach for self‑evolving agents by using a frozen large language model as a pairwise validator that decides which of two agent versions is bett…

cs.CL2026

Inference Time Optimization with Confidence Dynamics

Yu Wang, Minghao Liu, Jiayun Wang +3

Inference time optimization techniques, such as repeated sampling, have significantly advanced the reasoning capabilities of Large Language Models (LLMs). However, the critical rol…

cs.CV2026

UniVL: Unified Vision-Language Embedding for Spatially Grounded Contextual Image Generation

Jiayun Wang, Yu Wang, Weijie Gan +2

We introduce spatially grounded contextual image generation, a controllable image generation task that reframes the conditioning paradigm. Instead of supplying a reference image an…

cs.CV2026

Dual-Prompt CLIP with Hybrid Visual Encoders for Occluded Person Re-Identification

Zhangjian Ji, Shaotong Qiao, Kai Feng +1

Occluded person re-identification focuses on matching partially visible pedestrians across multiple camera views. However, occlusions disrupt body-region cues, thereby complicating…

cs.CL2026

HumanLM: Simulating Users with State Alignment Beats Response Imitation

Shirley Wu, Evelyn Choi, Arpandeep Khatua +7

Large Language Models (LLMs) are increasingly used to simulate how specific users respond to a given context, enabling more user-centric applications that rely on user feedback. Ho…