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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Ruochun Jin

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4 papers indexed here

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Conference Aug 2026

DOMR-Mem: Detecting, Repairing, and Preserving Long-Term LLM Memories

Large language model (LLM) agents rely on external memory to support long-horizon tasks, yet existing memory systems struggle to distinguish beneficial from harmful information. Similarity-based retrieval introduces conflicting memories into the context, while memory cleanup and summarization often discard rare but rea...

Sheng-Lin Chen, Ya-Xin Liu, Yuan-Pu Cai et al. · 0 citations
Conference Aug 2026

RICO-Mem: Conflict-Aware Memory Management for Long-Term LLM Agents

Long-horizon memory is essential for Large Language Model (LLM) agents, yet existing memory systems still face four key challenges: context truncation breaks links between related memories, LLM-based memory summarization introduces hallucinations, concept drift is often mistaken for factual contradiction, and manually...

Sheng-Lin Chen, Ya-Xin Liu, Ke-Ran Hou et al. · 0 citations
Open access Sep 2026

Detecting Contradictions Within and Across Documents

This paper presents DocChecker, a system for detecting textual contradictions. Given a document collection 𝒟, DocChecker identifies conflicting properties or relationships assigned to the same entity, both within and across documents. It adopts a graph-based paradigm: entities and their relations are extracted, repre...

Sheng-Lin Chen, Wen-Fei Fan, Ruo-Chun Jin et al. · 0 citations
Conference Open access Sep 2026

Mitigating Collaboration Degeneration in Multi-Agent Code Generation via a Controllable Competitive Collaboration Approach

This work proposes C3, a Controllable Competitive Collaboration framework featuring two novel mechanisms: Centralized Auction-Based Competition (CAB) for role allocation via bidding and Decentralized Communication-Aware Competition (DCC) for solution refinement through opponent-aware adaptation.

Shan-Zhi Gu, Ming-Yang Geng, Yihong Dong et al. · 0 citations

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