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20232026
most citedEvaluating the Logical Reasoning Ability of ChatGPT and GPT-4

106 citations · 110 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks

Guangsheng Bao, Lihua Rong, Yanbin Zhao +3

Existing AI-generated text detectors are vulnerable to attacks that manipulate textual characteristics. In this study, we propose a novel Triospect Detection Framework by using add…

cs.CL2025

ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval

Zihan Chen, Lei Shi, Weize Wu +2

Many contemporary data-driven research efforts in the natural sciences, such as chemistry and materials science, require large-scale, high-performance entity recognition from scien…

cs.CL2025

Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model

Junshu Pan, Wei Shen, Shulin Huang +2

Direct Preference Optimization (DPO) simplifies reinforcement learning from human feedback (RLHF) for large language models (LLMs) by directly optimizing human preferences without…

cs.CL2025

Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text

Guangsheng Bao, Lihua Rong, Yanbin Zhao +2

The wide usage of LLMs raises critical requirements on detecting AI participation in texts. Existing studies investigate these detections in scattered contexts, leaving a systemati…

cs.CL2023

GLoRE: Evaluating Logical Reasoning of Large Language Models

Hanmeng liu, Zhiyang Teng, Ruoxi Ning +4

Large language models (LLMs) have shown significant general language understanding abilities. However, there has been a scarcity of attempts to assess the logical reasoning capacit…

cs.CL2023★ 106 cited

Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4

Hanmeng Liu, Ruoxi Ning, Zhiyang Teng +3

Harnessing logical reasoning ability is a comprehensive natural language understanding endeavor. With the release of Generative Pretrained Transformer 4 (GPT-4), highlighted as "ad…

cs.CL2023★ 4 cited

LogiCoT: Logical Chain-of-Thought Instruction-Tuning

Hanmeng Liu, Zhiyang Teng, Leyang Cui +3

Generative Pre-trained Transformer 4 (GPT-4) demonstrates impressive chain-of-thought reasoning ability. Recent work on self-instruction tuning, such as Alpaca, has focused on enha…