Papers by Jiaxi Zhuang

2 papers
SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis (2025.findings-naacl)

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Challenge: Existing benchmarks fail to adequately evaluate the proficiency of Large Language Models (LLMs) Existing standards do not cover the skills needed to evaluate LLMs in scientific literature analysis.
Approach: They propose a benchmark to evaluate the proficiency of large language models in scientific literature analysis.
Outcome: SciAssess evaluates 11 LLMs on multiple tasks across scientific fields.
APEX: Learning Adaptive Priorities for Multi-Objective Alignment in Vision-Language Generation (2026.findings-acl)

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Challenge: APEX optimizes for text-to-image generation by combining learning potential, conflict penalty, and progress need.
Approach: They propose an algorithm that stabilizes heterogeneous rewards and dynamically schedules objectives . they propose a method that achieves better Pareto trade-offs across four heterogenous objectives based on P3 Adaptive Priorities .
Outcome: The proposed algorithm achieves better pareto trade-offs across four heterogeneous objectives while maintaining competitive OCR accuracy.

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