3 citations · 11 across the 33 of their papers we have counts for
7 papers · 1 filter
E2Edev: Benchmarking Large Language Models in End-to-End Software Development Task
Jingyao Liu, Chen Huang, Zhizhao Guan +2
The rapid advancement in large language models (LLMs) has demonstrated significant potential in End-to-End Software Development (E2ESD). However, existing E2ESD benchmarks are limi…
Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information
Youcheng Huang, Bowen Qin, Chen Huang +3
Large Reasoning Models (LRMs) have demonstrated remarkable problem-solving abilities in mathematics, as evaluated by existing benchmarks exclusively on well-defined problems. Howev…
ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming
Xinwei Yang, Zhaofeng Liu, Chen Huang +4
While recent research increasingly emphasizes the value of human-LLM collaboration in competitive programming and proposes numerous empirical methods, a comprehensive understanding…
Can Large Language Models Understand Internet Buzzwords Through User-Generated Content
Chen Huang, Junkai Luo, Xinzuo Wang +2
The massive user-generated content (UGC) available in Chinese social media is giving rise to the possibility of studying internet buzzwords. In this paper, we study if large langua…
Breaking the Stigma! Unobtrusively Probe Symptoms in Depression Disorder Diagnosis Dialogue
Jieming Cao, Chen Huang, Yanan Zhang +3
Stigma has emerged as one of the major obstacles to effectively diagnosing depression, as it prevents users from open conversations about their struggles. This requires advanced qu…
How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond
Chen Huang, Yang Deng, Wenqiang Lei +3
With the advancement of large language models (LLMs), intelligent models have evolved from mere tools to autonomous agents with their own goals and strategies for cooperating with…
Cross-model Transferability among Large Language Models on the Platonic Representations of Concepts
Youcheng Huang, Chen Huang, Duanyu Feng +2
Understanding the inner workings of Large Language Models (LLMs) is a critical research frontier. Prior research has shown that a single LLM's concept representations can be captur…