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20242026
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quant-ph2026

Semiclassical scaling of eigenstate thermalization in single-particle chaotic systems

Yaoqi Ye, Xiao Wang

We study the off-diagonal matrix elements of real-space observables in time-reversal-invariant single-particle chaotic systems. By analyzing the semiclassical expression for the of…

cs.CV2026

Controllable Video Object Insertion via Multi-View Priors

Qi Xia, Peishan Cong, Yichen Yao +3

Video object insertion places a user-specified object in an existing dynamic scene. Existing methods typically condition generation on text or a single reference image. Consequentl…

cs.CV2026

ReMoGen: Real-time Human Interaction-to-Reaction Generation via Modular Learning from Diverse Data

Yaoqin Ye, Yiteng Xu, Qin Sun +3

Human behaviors in real-world environments are inherently interactive, with an individual's motion shaped by surrounding agents and the scene. Such capabilities are essential for a…

cs.AI2026

In-Context Reinforcement Learning for Tool Use in Large Language Models

Yaoqi Ye, Yiran Zhao, Keyu Duan +4

While large language models (LLMs) exhibit strong reasoning abilities, their performance on complex tasks is often constrained by the limitations of their internal knowledge. A com…

cs.CV2026

ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learning

Yiran Zhao, Yaoqi Ye, Xiang Liu +2

With the rapid advancement of commercial multi-modal models, image editing has garnered significant attention due to its widespread applicability in daily life. Despite impressive…

cs.LG2026

LACONIC: Length-Aware Constrained Reinforcement Learning for LLM

Chang Liu, Yiran Zhao, Lawrence Liu +3

Reinforcement learning (RL) has enhanced the capabilities of large language models (LLMs) through reward-driven training. Nevertheless, this process can introduce excessively long…