works on

From the 1 of 41 linked papers with an AI index.

activity
20242026
collaborators
Showing cs.CLShow all

32 papers · 1 filter

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.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.CL2026

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution

Hongyi Liu, Haoyan Yang, Tao Jiang +4

Long-horizon LLM agents generate traces that could become reusable experience, but raw trajectories are noisy, local, and hard to govern. Agent Skills offer a structured artifact f…

cs.CL2026

MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval

Chunyu Li, Mengyuan Zhang, Jingyi Kang +6

In agent memory systems, the reranking model serves as the critical bridge connecting user queries with long-term memory. Most systems adopt the "retrieve-then-rerank" two-stage pa…

cs.CL2026

MemReader: From Passive to Active Extraction for Long-Term Agent Memory

Jingyi Kang, Chunyu Li, Ding Chen +3

Long-term memory is fundamental for personalized and autonomous agents, yet populating it remains a bottleneck. Existing systems treat memory extraction as a one-shot, passive tran…