Papers by Tianjun Pan

2 papers
TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems (2026.findings-acl)

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Challenge: Existing communication topologies rely on spatio-temporal dialogues, which incur high latency and computation.
Approach: They propose a framework for one-shot Topology generation with Diverse Interaction Modes that enables agents to construct heterogeneous communication without iterative coordination.
Outcome: The proposed framework reduces total token consumption by 46.41% while improving average performance by 1.50% over state-of-the-art methods.
From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks (2026.findings-acl)

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Challenge: Existing evaluation benchmarks for writing reward models are coarse-grained.
Approach: They propose a benchmark and a fine-grained training framework to evaluate writing reward models.
Outcome: The proposed model improves on various writing benchmarks and exhibits strong generalization.

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