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20242026
most citedReimagining Legal Fact Verification with GenAI: Toward Effective Human-AI Collaboration

3 citations · 3 across the 21 of their papers we have counts for

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8 papers · 1 filter

cs.AI2026

LRAS: Advanced Legal Reasoning with Agentic Search

Yujin Zhou, Chuxue Cao, Jinluan Yang +4

While Large Reasoning Models (LRMs) have demonstrated exceptional logical capabilities in mathematical domains, their application to the legal field remains hindered by the strict…

cs.AI2025

MedInsightBench: Evaluating Medical Analytics Agents Through Multi-Step Insight Discovery in Multimodal Medical Data

Zhenghao Zhu, Chuxue Cao, Sirui Han +4

In medical data analysis, extracting deep insights from complex, multi-modal datasets is essential for improving patient care, increasing diagnostic accuracy, and optimizing health…

cs.AI2025

AI Deception: Risks, Dynamics, and Controls

Boyuan Chen, Sitong Fang, Jiaming Ji +56

As intelligence increases, so does its shadow. AI deception, in which systems induce false beliefs to secure self-beneficial outcomes, has evolved from a speculative concern to an…

cs.AI2025

LegalReasoner: Step-wised Verification-Correction for Legal Judgment Reasoning

Weijie Shi, Han Zhu, Jiaming Ji +7

Legal judgment prediction (LJP) aims to function as a judge by making final rulings based on case claims and facts, which plays a vital role in the judicial domain for supporting c…

cs.AI2025

Mitigating Deceptive Alignment via Self-Monitoring

Jiaming Ji, Wenqi Chen, Kaile Wang +8

Modern large language models rely on chain-of-thought (CoT) reasoning to achieve impressive performance, yet the same mechanism can amplify deceptive alignment, situations in which…

cs.AI2025

Generative RLHF-V: Learning Principles from Multi-modal Human Preference

Jiayi Zhou, Jiaming Ji, Boyuan Chen +6

Training multi-modal large language models (MLLMs) that align with human intentions is a long-term challenge. Traditional score-only reward models for alignment suffer from low acc…