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Peng-Tao Xie

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Preprint Sep 2026

JudgeProfile: Understanding and Steering Subjectivity in LLM Judges

JudgeProfile is introduced, a framework that dissects LLM evaluation into perception (how a judge compares two responses across specific attributes like clarity, correctness, and detail) and prioritization (how much each attribute influences the final choice) and finds a hidden consensus in perception.

Qiong-Qiong Cao, Kang-Ni Liu, Xuan Kan et al. · 0 citations
#artificial intelligence Preprint Sep 2026

JudgeProfile: Understanding and Steering Subjectivity in LLM Judges

LLM judges are inherently subjective, often favoring different responses in pairwise comparison when neither option is objectively wrong. To study this subjectivity, we introduce JudgeProfile, a framework that dissects LLM evaluation into perception (how a judge compares two responses across specific attributes like cl...

Qiong-Qiong Cao, Kang-Ni Liu, Xuan Kan et al. · 0 citations
#artificial intelligence Preprint Sep 2026

AIBuildAI-2.5: Efficient Autonomous AI Model Development Through LLM-Guided Tree Search

AIBuildAI-2.5 is introduced, an agentic system that carries out the tree search with LLM agents and proposes a novel LLM-guided tree search, in which a judge scores each candidate on its expected improvement, grounding, and feasibility, and a selector ranks the pool of candidates from these scores and the state of the...

Pei-Jia Qin, Rui-Yi Zhang, Qi Cao et al. · 0 citations
#artificial intelligence Preprint Sep 2026

The Missing Complement: State-Conditioned Minimal Sufficient Evidence for Coding Agents

Retrieval assembles repository context by ranking passages for relevance to the current query. A coding agent halfway through an issue has already read much of what such a ranker returns. Relevance is scored per passage, but sufficiency belongs to the set: independently scored passages can fill the budget with support...

Zhe-Xi Feng, Rui-Yi Zhang, Yong-Bo Yang et al. · 0 citations
Preprint Aug 2026

Reconstructing the Right Episode: Evaluating Interleaved Conversational Memory Beyond Long Context

This work introduces SCALE-QA, a constraint-grounded task QA benchmark for flat unsegmented threads targeting episode integrity failure, and proposes Temporal-Semantic Interleaved Memory Reconstruction (TSIM), which segments the turn stream into coherent episodes and indexes them through a hierarchical multi-view memor...

Zhe-Xi Feng, Rui-Yi Zhang, Yong-Bo Yang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

What Matters, When? Diagnosing and Improving Conditional Visual Grounding in Visuomotor Imitation Policies

Visuomotor imitation policies can achieve high performance under in-distribution visual conditions yet fail when visually similar objects or receptacles are introduced. We study this behavior as a problem of conditional visual grounding: the visual target required for successful control changes with the manipulation ph...

Vivek Chavan, Peng-Tao Xie, Ya-Huan Shi et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Can LLMs Take the Pulse of the Economy? A Real-Time Evaluation of LLM Nowcasts on Macroeconomic Indicators

Over six months with four state-of-the-art LLM agents configured with web search, aggregate nowcast accuracy is broadly comparable to the institutional and professional benchmarks, with performance varying widely across individual indicators.

Xin-Yue Zhao, Rui-Yi Zhang, Li-Qin Ye et al. · 1 citation

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