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Rui Sheng

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#artificial intelligence Preprint Oct 2026

RISR: Residual-Informed Scientific Equation Discovery with Large Language Models

Symbolic regression combines structural search with numerical fitting, but aggregate fit scores do not describe how the remaining error varies across inputs. We introduce RISR, a residual-informed method that uses these error patterns to guide formula discovery and learn which corrections are worth fitting. A residual...

Hao-Bo Li, Wen-Shuo Zhang, Wen-Xiao Zhao et al. · 0 citations
#human-computer interacti... Open access Jul 2025

TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical Trials

TrialCompass, a visual analytics system integrating a novel workflow, can empower clinicians to iteratively explore the vast space of eligibility criteria through knowledge-driven and outcome-driven approaches and support history-tracking to help clinicians trace the evolution of their adjustments and decisions when ex...

Rui Sheng, Xing-Bo Wang, Jiachen Wang et al. · 1 citation
Preprint Aug 2026

TACT: Taxonomy-Aligned Post-Training for Pedagogically Adaptive English Tutoring

This work presents TACT (Taxonomy-Aligned Conversational Tutor), a human-grounded framework for post-training and evaluating pedagogically adaptive ESL tutors and develops two complementary taxonomies: the Tutor-Strategy Taxonomy with 13 tutor response strategies and the Student-Move Taxonomy characterizing learner beh...

Dongjie Yang, Siya Lin, Leixian Shen et al. · 0 citations
Preprint Jul 2026

WildTrace: Benchmarking Natural Evidence Trails in Long-Context Reasoning

WILDTRACE is introduced, a benchmark of 481 tasks over 214 naturally occurring long-form sources such as technical incident reports and lesser-known literary narratives, where all evidence trails arise from the document's own causal, temporal, and narrative logic.

Zixin Chen, Peng Liu, Haobo Li et al. · 0 citations
Jul 2026

Are LLMs Ready for Scientific Discovery? A Capability-Oriented Benchmark for AI Scientists

SDABench is introduced, a benchmark that reorganizes evaluation around six capabilities (descriptive, exploratory, inferential, inferential, predictive, causal, and mechanistic) across five domains (Biology, Chemistry, Environment, Geography, Physics).

Chuhan Shi, Xiaoquan Ren, Sicheng Song et al. · 1 citation
Preprint Aug 2026

MolecularCanvas: LLM-assisted Small-Molecule Drug Discovery via Structure-Guided Constraints

MolecularCanvas is an interactive system that enables users to iteratively construct an optimization context by integrating high-level goals, structure-level annotations, property constraints, and reference-based preferences that guides the generation of candidate molecules across diverse molecular structures.

Haoyu Dong, Rui Sheng, Shu-Hao Zhang et al. · 0 citations

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