Papers by Boxuan Wang

2 papers
Coding Agents with Multimodal Browsing are Generalist Problem Solvers (2026.findings-eacl)

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Challenge: specialized AI agents with task-specific tools or architectures fail to generalize beyond their intended scope.
Approach: They propose a single-agent system with a modest number of general tools . they propose to generalize across software engineering, deep research and web browsing .
Outcome: The proposed system achieves superior or competitive performance over specialized agents on three benchmarks.
Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language Models (2026.acl-long)

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Challenge: Empirical results show misalignment at greater reasoning depths is driven mainly by alignment errors such as thematic shift and redundant reasoning.
Approach: They propose a method to quantitatively assess the alignment between multi-step, structured reasoning in large language models and human preferences by constructing semantic-entropy-based matrices over intermediate steps and measuring their divergence.
Outcome: The proposed method shows that it is consistent with previous studies and can be used as a diagnostic signal.

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