2 citations · 6 across the 11 of their papers we have counts for
5 papers · 1 filter
ProV-Mem: Proactive Memory for Streaming Video Question Answering
Bingbing Wang, Jing Li, Han Gao +3
Proactive streaming video question answering requires a model to continuously monitor an incoming stream and autonomously decide when to speak, what to say, and whether to emit a r…
All-in-One Memory: Process-Rewarded Reinforcement Learning for Memory Agents
Bingbing Wang, Jingjie Lin, Weiming Qiao +2
Large language models increasingly rely on external memory to answer queries grounded in long-horizon histories such as multi-session dialogues and lengthy documents. However, exis…
Ask Now, Use Later: Benchmarking the Proactivity Gap in Long-Lived LLM Agents
Bin Wu, Guanyun Zou, Bingbing Wang +2
A long-lived LLM agent, such as OpenClaw, earns its value by acting on a user's preferences and constraints across sessions, not just the current request. Yet today's agents keep w…
Mitigating Provenance-Role Collapse in Long-Term Agents via Typed Memory Representation
Zhengda Jin, Bingbing Wang, Jing Li +2
Long-term memory is essential for persistent LLM agents, yet prevailing architectures store historical interactions as unstructured, flat text. This unconstrained storage induces p…
Proactive Memory for Ad-Hoc Recall over Streaming Dialogues
Bingbing Wang, Jing Li, Ruifeng Xu
Real-world dialogue usually unfolds as an infinite stream. It thus requires bounded-state memory mechanisms to operate within an infinite horizon. However, existing read-then-think…