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From the 1 of 8 linked papers with an AI index.

collaborators

8 papers

cs.AI2026

MathCoPilot: An Interactive System for Human-AI Symbiotic Paradigm of Mathematical Research

Junjie Zhang, Jiayu Liu, Wenbin Liu +11

MathCoPilot is an interactive, human‑in‑the‑loop system that lets mathematicians steer AI agents to formalize and verify mathematical proofs in Lean, combining a live proof bluepri…

cs.CL2026

PolyAlign: Conditional Human-Distribution Alignment

L. D. M. S. Sai Teja, Ufaq Khan, Sathira Silva +2

Post-training methods such as supervised fine-tuning (SFT) and preference optimization typically align language models toward a single global assistant behavior. While effective fo…

cs.CL2026

CE-GOCD: Central Entity-Guided Graph Optimization for Community Detection to Augment LLM Scientific Question Answering

Jiayin Lan, Jiaqi Li, Baoxin Wang +5

Large Language Models (LLMs) are increasingly used for question answering over scientific research papers. Existing retrieval augmentation methods often rely on isolated text chunk…

cs.CL2026

Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models

Runxuan Liu, Xianhao Ou, Xinyan Ma +13

Long Chain-of-Thought (LCoT), achieved by Reinforcement Learning with Verifiable Rewards (RLVR), has proven effective in enhancing the reasoning capabilities of Large Language Mode…

cs.AI2025

From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems

Zekun Zhou, Xiaocheng Feng, Lei Huang +11

Research is a fundamental process driving the advancement of human civilization, yet it demands substantial time and effort from researchers. In recent years, the rapid development…

cs.CL2025

Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving

Yuxuan Zhou, Xien Liu, Chenwei Yan +8

Large language models (LLMs) have demonstrated remarkable performance on various medical benchmarks, but their capabilities across different cognitive levels remain underexplored.…