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From the 1 of 7 linked papers with an AI index.

collaborators

7 papers

cs.SE2026

VITAL-RAG: Invariance Race for Context Allocation in Coding Agents

Zijian Lu, Yonghua Lu, Mingcai Chen +4

The paper introduces VITAL-RAG, a method for coding agents that groups retrieved code fragments by their original code object and selectively includes only those that add new task-…

cs.CV2026

Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding

Yikai Zheng, Xin Ding, Yifan Yang +6

Recent advances in Streaming Video Understanding has enabled a new interaction paradigm where models respond proactively to user queries. Current proactive VideoLLMs rely on per-fr…

cs.CV2026

AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs

Yaoting Wang, Ziyi Zhang, Wenming Tu +10

Recent advances in Omni-Multimodal Large Language Models (Omni-MLLMs) have enabled strong integration of vision, audio, and language. However, their audio-visual intelligence (AVI)…

cs.RO2026

OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism

Xiangyu Li, Huaizhi Tang, Xin Ding +3

Embodied AI agents increasingly require parallel execution of multiple tasks, such as manipulation, conversation, and memory construction, from shared observations under distinct t…

cs.DC2026

Vec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices

Xiangyu Li, Chengyu Yin, Weijun Wang +3

Large language models (LLMs) are increasingly deployed on edge devices. To meet strict resource constraints, real-world deployment has pushed LLM quantization from 8-bit to 4-bit,…

cs.CL2025

KVShare: An LLM Service System with Efficient and Effective Multi-Tenant KV Cache Reuse

Huan Yang, Renji Zhang, Mingzhe Huang +5

Recent advances in long-text understanding have pushed the context length of large language models (LLMs) up to one million tokens. It boosts LLMs's accuracy and reasoning capacity…