activity
20232026
most citedAnalysis of LLM Bias (Chinese Propaganda & Anti-US Sentiment) in DeepSeek-R1 vs. ChatGPT o3-mini-high

4 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens

Wei-Lin Chen, Liqian Peng, Tian Tan +5

Large language models (LLMs) have demonstrated impressive reasoning capabilities by scaling test-time compute via long Chain-of-Thought (CoT). However, recent findings suggest that…

cs.CL2025★ 4 cited

Analysis of LLM Bias (Chinese Propaganda & Anti-US Sentiment) in DeepSeek-R1 vs. ChatGPT o3-mini-high

PeiHsuan Huang, ZihWei Lin, Simon Imbot +2

Large language models (LLMs) increasingly shape public understanding and civic decisions, yet their ideological neutrality is a growing concern. While existing research has explore…

cs.CR2025

Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate

Senmao Qi, Yifei Zou, Peng Li +3

Multi-Agent Debate (MAD), leveraging collaborative interactions among Large Language Models (LLMs), aim to enhance reasoning capabilities in complex tasks. However, the security im…

cs.SE2025

Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation

Zi Lin, Sheng Shen, Ilia Kulikov +3

Recent advances in large language models (LLMs) have improved their performance on coding benchmarks. However, improvement is plateauing due to the exhaustion of readily available…

cs.CL2024★ 1 cited

Optimizing Language Model's Reasoning Abilities with Weak Supervision

Yongqi Tong, Sizhe Wang, Dawei Li +6

While Large Language Models (LLMs) have demonstrated proficiency in handling complex queries, much of the past work has depended on extensively annotated datasets by human experts.…

cs.CL2023

Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking

Yongqi Tong, Yifan Wang, Dawei Li +4

Chain-of-Thought(CoT) prompting and its variants explore equipping large language models (LLMs) with high-level reasoning abilities by emulating human-like linear cognition and log…

cs.LG2023

Critique Ability of Large Language Models

Liangchen Luo, Zi Lin, Yinxiao Liu +4

Critical thinking is essential for rational decision-making and problem-solving. This skill hinges on the ability to provide precise and reasoned critiques and is a hallmark of hum…