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Hai-Bo Jin

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#artificial intelligence Preprint Sep 2026

Breaking Babel: A Self-Evolving Multi-Agent System for Long-Form Subtitle Translation

Long-form subtitle translation requires reasoning over discourse and cultural context spanning episodes or entire series, while maintaining consistent terminology and style. Existing single-LLM methods are largely sentence-level, and multi-agent systems often use static workflows that do not adapt to scene complexity o...

Hai-Bo Jin, Xin-Jie Li, N. Sadoughi et al. · 0 citations
#artificial intelligence Preprint Sep 2026

ANTMAN: Adaptive Need Tracking for Multi-Agent Navigation in Large Information Spaces

ANTMAN is introduced, an adaptive coordination framework that treats evolving unresolved information needs as the unit of runtime coordination and maintains a revisable Need Graph that tracks unresolved requirements, accumulated evidence, prior attempts, and search progress.

Jerry Wang, Hai-Bo Jin, Xiao-Peng Yuan et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool Primitives

This work introduces Tool Primitives, a design that replaces rigid API schema-based invocation with natural language as the interface for tool calling, where each tool is wrapped with an LLM interface that handles schema resolution and execution internally, enabling natural inter-tool communication for nested and multi...

Hai-Bo Jin, Sui-Jin Wang, Xuchen Yu et al. · 1 citation
2025

Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps

This work presents a theoretical framework that reveals how reasoning steps can amplify error through three failure modes: incorrect sub-task decomposition, incorrect sub-task solving, and incorrect final answer summarization, and introduces structured interventions that adapt CoT generation according to the identified...

Haibo Jin, Peiyan Zhang, Man Luo et al. · 1 citation

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