Papers with generation agents

2 papers
LAMP-MedQA: A Lightweight Multi-Agent System for Patient-Oriented Medical Question Answering (2026.acl-srw)

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Challenge: Large language models (LLMs) are a promising way to bridge the gap between patient health literacy and access to care.
Approach: They evaluate a range of open- and closed-source LLMs on a MeDiSumQA dataset . they propose a lightweight multi-agent framework for patient-oriented medical question answering .
Outcome: The proposed model achieves lower FKGL than zero-shot GPT-5 and highest simplification quality among all models.
When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judges (2026.acl-long)

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Challenge: Multi-agent LLMs generate multiple candidate responses that are aggregated by an LLM judge.
Approach: They propose to advocate KV cache reuse across partially shared contexts and report substantial speedups for generation agents.
Outcome: The proposed reuse strategies weaken cross-candidate attention, especially for later candidate blocks, and highlight judge-centric inference as a distinct regime that requires dedicated, risk-aware system design.

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