activity
20172026
most citedCausally Regularized Learning with Agnostic Data Selection Bias

97 citations · 563 across the 101 of their papers we have counts for

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Showing 2025Show all

11 papers · 1 filter

cs.CY2025

EduAgentQG: Multi-Agent Personalized Mathematics Question Generation with Explicit Diversity and Objective-Aware Evaluation

Rui Jia, Min Zhang, Fengrui Liu +3

In intelligent education, personalized mathematics question generation aims to produce mathematics questions that satisfy educational requirements while supporting adaptive assessm…

cs.AI2025

UCO: A Multi-Turn Interactive Reinforcement Learning Method for Adaptive Teaching with Large Language Models

Shouang Wei, Min Zhang, Xin Lin +4

Large language models (LLMs) are shifting from answer providers to intelligent tutors in educational settings, yet current supervised fine-tuning methods only learn surface teachin…

cs.CL2025

EduDial: Constructing a Large-scale Multi-turn Teacher-Student Dialogue Corpus

Shouang Wei, Min Zhang, Xin Lin +3

Recently, several multi-turn dialogue benchmarks have been proposed to evaluate the conversational abilities of large language models (LLMs). As LLMs are increasingly recognized as…

cs.IR2025★ 1 cited

FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets

Kairui Fu, Tao Zhang, Shuwen Xiao +9

Semantic identifiers (SIDs) have gained increasing attention in generative retrieval (GR) for recommendation due to their meaningful semantic discriminability. However, current stu…

q-fin.TR2025

MM-ARC: Multimodal Adaptive Routing of Capital with Robustness-Audited Strategy Pools

Yang Chen, Yuchen Cao, Jacky Keung +7

Financial trading systems must convert multimodal market history into executable positions while limiting overfitting from repeated strategy search. We introduce MM-ARC (MultiModal…

cs.CL2025

Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction

Tao Wu, Jingyuan Chen, Wang Lin +6

Distractors-incorrect yet plausible answer choices in multiple-choice questions (MCQs)-are vital in educational assessments, as they help identify student misconceptions by present…