activity
20172026
most citedSession-based Recommendation with Hypergraph Attention Networks

103 citations · 330 across the 70 of their papers we have counts for

collaborators

75 papers

cs.IR2026

Closing the Long-Short View Gap in Sequential Recommendation without Cached History

Lingfeng Shi, Chengkai Huang, Lina Yao +1

Sequential recommenders are typically trained on long user histories to capture rich behavioral signals, yet serving with training-length sequences is often impractical due to real…

cs.HC2026

A Cross Community Agenda for Speech AI

Maria Teleki, Kimi Wenzel, Anna Seo Gyeong Choi +20

Speech AI, any AI system that recognizes, transforms, or generates speech, is built and evaluated across two communities with only a small overlap: technical natural language proce…

cs.CL2026

The Role of Disfluencies in Speech Translation

Maike Züfle, Maria Teleki, Fabian Retkowski +5

Current speech translation systems, including SpeechLLMs, are trained on cleaned text and tend to strip disfluencies like filled pauses and false starts rather than translate them.…

cs.LG2026

When Do Multi-Agent Systems Help? An Information Bottleneck Perspective

Wendi Yu, Lianhao Zhou, Xiangjue Dong +6

LLM powered multi-agent systems (MAS) have emerged as a promising paradigm for complex tasks. However, their advantages over single-agent systems (SAS) remain unclear, with perform…

cs.CL2026

Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation

Xingyu Su, Jacob Helwig, Shubham Parashar +6

We study the transformation of autoregressive models (ARLMs) into diffusion language models (DLMs). Rather than pretraining from scratch, prior work replaces the causal attention i…

cs.CL2026

DisasterBench: Benchmarking LLM Planning under Typed Tool Interface Constraints

Zhitong Chen, Kai Yin, Weifeng Zhang +7

Disasters cause severe societal impacts, demanding rapid coordination of heterogeneous AI tools, from satellite analysis to flood prediction and damage assessment, into coherent mu…