2 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
RASER: Recoverability-Aware Selective Escalation Router for Multi-Hop Question Answering
Yuyang Li, Zihe Yan, Tobias Käfer
Multi-hop question-answering systems often use expensive retrieval on every question. They may decompose the question, run several retrieval rounds, or search through bridge entiti…
Learning Agent-Compatible Context Management for Long-Horizon Tasks
Lu Yi, Runlin Lei, Liuyi Yao +6
LLM agents increasingly face long-horizon tasks such as web search and deep research in real-world applications, where accumulated context can cause long-context degradation and re…
EviMem: Evidence-Gap-Driven Iterative Retrieval for Long-Term Conversational Memory
Yuyang Li, Yime He, Zeyu Zhang +1
Long-term conversational memory requires retrieving evidence scattered across multiple sessions, yet single-pass retrieval fails on temporal and multi-hop questions. Existing itera…
Sim-and-Human Co-training for Data-Efficient and Scene-Generalizable Bimanual Manipulation
Kaipeng Fang, Weiqing Liang, Yuyang Li +5
Real-robot demonstrations are prohibitively expensive, while simulation data and real-world human demonstrations are both scalable but each leaves a distinct gap: simulation suffer…