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Xue Liu

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#machine learning Preprint Sep 2026

Measurement-Gated Provenance Attenuation for Frozen EEG Representations

Measurement-Gated Provenance Attenuation (MGPA), built on one principle: measurement evidence determines where correction may act, and preserved information determines what it should aim for, brings source to near chance with task performance unchanged.

Anuar Aimoldin, Yan-Kai Chen, Ayana Mussabayeva et al. · 0 citations
#natural language process... Preprint Sep 2026

Same Scores, Different Decisions: Evaluating JEV and Language Models for Legal Document Understanding

Jev has the lowest cost and median response time among the evaluated configurations, while hosted language models achieve higher baseline accuracy and Rankings by baseline accuracy differ from rankings by correctness across every condition and repeat, although small differences in the latter do not establish a general...

Fan Zhang, Yan-Kai Chen, Zhuo-Han Xie et al. · 11 citations · ⚡1
Preprint Sep 2026

Prediction-Market Seed Capital Recovery from Noise-Dominant Flow

Automated prediction markets require sponsors to prefund liquidity before observing order flow, creating a financing challenge at launch. We study whether nonnegative charges conditioned on observable payoff direction can improve recovery of this prefunded capital while limiting their effect on informed participation....

Yan-Kai Chen, Bowei He, Zhuo-Han Xie et al. · 1 citation
Preprint Sep 2026

Trade-Adaptive Aggregation of Probabilistic Financial Forecasts

SpanPM is introduced, a prediction-market mechanism that sets the local-curvature multiplier from each trade's realized payoff spread and preserves 96--97% of the trader surplus achieved with exact Bregman fees while cutting excess fees by 94\% relative to the global quadratic mechanism.

Yan-Kai Chen, Rassul Magauin, Bowei He et al. · 1 citation
#artificial intelligence Preprint Aug 2026

SCAFFOLD: Self-Improving Web Agents via Recursive Parametric Skill Abstraction

A self-improving framework for visual web agents that induces parametric, executable skills from successful trajectories under a multi-instance abstraction constraint, maintains a recursively composed hierarchy in which higher-level skills invoke lower-level ones, and periodically distills skill-augmented trajectories...

Bo-Wei He, Xiao-Kun Zhang, Meng-Jie Ding et al. · 1 citation
Review Jul 2026

Overview of FinMMEval 2026 Task 2: Multilingual Financial Short-Answer Question Answering

FinMMEval 2026 Task 2 evaluates short-answer financial question answering over multilingual evidence over multilingual evidence using document retrieval-augmented generation, cross-lingual evidence handling, structured prompting, answer compression, and validation strategies.

Zhuohan Xie, Xueqing Peng, Georgi N. Georgiev et al. · 1 citation
Preprint Jul 2026

Branching Policy Optimization: Sandbox-Native Language Agent Reinforcement Learning

BPO is instantiate as Branching Policy Optimization (BPO), a sandbox-native RL algorithm that adaptively snapshots the sandbox at high-entropy decision points along a backbone trajectory, and proves this estimator is unbiased and has strictly lower variance than the trajectory-level baseline, with the reduction equal t...

Bowei He, Yankai Chen, Xiaokun Zhang et al. · 1 citation
Review Jul 2026

Overview of FinMMEval 2026 Task 1: Multilingual Financial Multiple-Choice Question Answering

FinMMEval 2026 Task 1 evaluates multilingual financial multiple-choice question answering in English, Chinese, Arabic, and Hindi. The task tests whether systems can select the correct answer to finance questions involving domain terminology, numerical interpretation, and conceptual financial reasoning across languages...

Zhuohan Xie, Yu-Yang Dai, R. Elbadry et al. · 1 citation

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