From the 1 of 7 linked papers with an AI index.
7 papers
Collective Communication for Distributed LLM Systems: Planning, Runtime Adaptation, and Computation Coordination
Xuebin Song, Menghao Zhang, Yuezheng Liu +5
Distributed large language model (LLM) systems increasingly rely on collective communication primitives such as AllReduce (AR), ReduceScatter (RS), AllGather (AG), and AlltoAll (A2…
Adaptive Supervised Anchoring for On-Policy Self-Distillation
Meilin Yang, Zixuan Ding, Jianhao Nie +5
On-policy self-distillation (OPSD) adapts a language model by distilling guidance from a frozen teacher on trajectories sampled from the student. Its effectiveness, however, depend…
Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation
Yuhang Zhu, Mingxuan Du, Benfeng Xu +3
The paper presents PALATE, a benchmark that uses per‑user simulated agents to evaluate role‑playing language models through free‑form, multi‑turn conversations and personalized sat…
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
Zhuo Chen, Xinzhe Yuan, Jianshu Zhang +8
The high cost and data scarcity in scientific exploration have motivated the use of large language models (LLMs) as knowledge-driven components in Bayesian optimization (BO). Howev…
Think While Watching: Online Streaming Segment-Level Memory for Multi-Turn Video Reasoning in Multimodal Large Language Models
Lu Wang, Zhuoran Jin, Yupu Hao +4
Multimodal large language models (MLLMs) have shown strong performance on offline video understanding, but most are limited to offline inference or have weak online reasoning, maki…
Leveraging large multimodal models for audio-video deepfake detection: a pilot study
Songjun Cao, Yuqi Li, Yunpeng Luo +2
Audio-visual deepfake detection (AVD) is increasingly important as modern generators can fabricate convincing speech and video. Most current multimodal detectors are small, task-sp…