Papers by Namyeong So

2 papers
Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents (2025.emnlp-main)

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Challenge: Current efforts to bridge the two modes of interaction are reactive, focusing on responding to user inputs rather than coordinating dialogue flows.
Approach: They propose a dataset designed for transition-aware dialogue modeling that incorporates structurally diverse and integrated mode flows.
Outcome: The proposed dataset outperforms baseline models in intent detection and mode transition handling.
Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent Systems (2026.findings-acl)

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Challenge: Adaptive multi-agent systems (MAS) are increasingly adopted as solutions to complex problems.
Approach: They conduct extensive empirical study on adaptive multi-agent systems . they find they are prone to topological overfitting and exhibit illusory coordination . authors urge prioritization of generalization in MAS development and evaluation .
Outcome: a new study shows adaptive multi-agent systems are prone to overfitting and lack coordination . the findings highlight the need to prioritize generalization in MAS development .

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