activity
20242026
most citedEvaluation of OpenAI o1: Opportunities and Challenges of AGI

22 citations · 27 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

7 papers · 1 filter

cs.AI2026

ExplorationBench: Measuring AI Systems' Exploration in Verifiable Alien Worlds

Ming Zhang, Zhenghao Xiang, Peizhong Gao +17

Scientific discovery begins where known problems end. There, AI systems must engage in exploration: framing hypotheses, designing experiments, and iterating on the results. However…

stat.ML2026

Complex Problem Solving in Large Language Models: A Statistical Control Survey and Diagnostic Framework

Jiazhang Cai, Tao Wang, Ruidong Zhang +35

Complex problem solving (CPS) with large language models (LLMs) is often framed as a matter of stronger reasoning or longer generation. Yet early-step error amplification, prompt b…

cs.SD2026

MuseCritic: Learning Multi-Aspect Song Rewards through Natural-Language Aesthetic Critiques

Jiabao Zhuang, Changhao Jiang, Hanchen Wang +11

Long-form song generation models continue to improve in duration, structural coherence, and acoustic complexity, increasing the need for reliable aesthetic rewards aligned with hum…

cs.CL2026

HyperLogic: A Hard, Forward-Authored Chinese Logical Reasoning Benchmark with Execution-Derived Answers

Ming Zhang, Qiyuan Peng, Yinxi Wei +16

Existing logic benchmarks primarily measure models' ability to answer reasoning questions directly. Scalable benchmarks often generate text from formal structures, which makes answ…

cs.IR2026

IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review

Fengbo Ma, Zixin Rao, Xiaoting Li +5

Scientific research relies on accurate information retrieval from literature to support analytical decisions. In this work, we introduce a new task, INformation reTRieval through l…

cs.IR2026

RealRoute: Dynamic Query Routing System via Retrieve-then-Verify Paradigm

Jiahe Liu, Qinkai Yu, Jingcheng Niu +5

Despite the success of Retrieval-Augmented Generation (RAG) in grounding LLMs with external knowledge, its application over heterogeneous sources (e.g., private databases, global c…

cs.SD2026

Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control

Changhao Jiang, Jiahao Chen, Zhenghao Xiang +14

Recent commercial systems such as Suno demonstrate strong capabilities in long-form song generation, while academic research remains largely non-reproducible due to the lack of pub…