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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.CV2026

ObjectStream: Latent Objects as Memory Anchors for Streaming Video Understanding

Mingkang Dong, Muxin Pu, Jie Li +8

ObjectStream introduces a training‑free method that extracts latent objects from frozen Video‑LLM representations and uses them as persistent memory anchors to improve streaming vi…

cs.AI2026

Hybrid Advantage Estimation with Unified Critic for VLM Agentic Reinforcement Learning

Wenxuan Zhang, Yuhui Wang, Donggang Jia +5

Large Vision-Language Models (VLMs) now act as agents in interactive environments, where success requires coherent reasoning and decision-making across turns. Although end-to-end t…

cs.LG2026

A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularity

Yousef A. Radwan, Xuhui Liu, Kilichbek Haydarov +2

Large language models (LLMs) have emerged as powerful representation learners whose internal features increasingly align with human cognition. We study whether modern LLMs can serv…

cs.CL2026

Freshness-Aware Prioritized Experience Replay for LLM/VLM Reinforcement Learning

Weiyu Ma, Yongcheng Zeng, Yan Song +4

Reinforcement Learning (RL) has achieved impressive success in post-training Large Language Models (LLMs) and Vision-Language Models (VLMs), with on-policy algorithms such as PPO,…

cs.AI2026

dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models

Wenxuan Zhang, Lemeng Wu, Changsheng Zhao +11

Diffusion Large Language Models (dLLMs) introduce a new paradigm for language generation, which in turn presents new challenges for aligning them with human preferences. In this wo…

cs.CV2026

Small Vision-Language Models are Smart Compressors for Long Video Understanding

Junjie Fei, Jun Chen, Zechun Liu +13

Adapting Multimodal Large Language Models (MLLMs) for hour-long videos is bottlenecked by context limits. Dense visual streams saturate token budgets and exacerbate the lost-in-the…