activity
20242026
collaborators

48 papers

cs.CL2026

PHASE-Tree: Modeling Character-State Evolution in Long-Horizon Role-Playing Dialogue

Bo Tang, Jianan Yang, Junyi Zhu +7

Long-horizon role-playing demands that characters remain recognizable as they evolve with the narrative. Yet existing work falls short on two fronts: representations are typically…

cs.MA2026

MAPLE-Guard: Memory-Aware Link Enforcement Against Memory-Link Poisoning in Multi-Agent Systems

Wenjun Xiong, Yijin Zhou, Jiaqian Wang +6

LLM-based multi-agent systems (MAS) increasingly rely on persistent private and shared memories for long-horizon coordination. This memory layer improves continuity, but it also gi…

cs.CL2026

Metis: Memory Foundation Model

Zeyu Zhang, Ziliang Guo, Yihang Sun +14

The paper presents Metis, a memory foundation model that embeds a persistent, dynamically updated memory state within the model backbone, allowing it to store and retrieve informat…

cs.CL2026

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents

Bo Tang, Yang Zhang, Guomian Zhuang +8

Existing memory systems for long-horizon LLM agents often retrieve prior traces as passive context rather than converting them into executable capabilities. In this paper, we propo…

cs.AI2026

MemOps: Benchmarking Lifecycle Memory Operations in Long-Horizon Conversations

Xixuan Hao, Zeyu Zhang, Zehao Lin +6

The paper introduces MemOps, a benchmark that evaluates long‑term conversational memory by tracking explicit lifecycle operations (remember, forget, update, etc.) rather than only…

cs.AI2026

Small Initialization Matters for Large Language Models

Liangkai Hang, Junjie Yao, Zhiyu Li +3

Large language models provide a tractable system for asking how intelligence itself emerges, rather than only how LLMs can be engineered. Although progress is usually attributed to…