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20242026
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cs.CL2025

Code-driven Number Sequence Calculation: Enhancing the inductive Reasoning Abilities of Large Language Models

Kedi Chen, Zhikai Lei, Xu Guo +10

Large language models (LLMs) make remarkable progress in reasoning tasks. Among different reasoning modes, inductive reasoning, due to its better alignment with human learning, att…

cs.CL2025

A Survey of Inductive Reasoning for Large Language Models

Kedi Chen, Dezhao Ruan, Yuhao Dan +12

Reasoning is an important task for large language models (LLMs). Among all the reasoning paradigms, inductive reasoning is one of the fundamental types, which is characterized by i…

cs.CL2025

Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models

Chang Wang, Siyu Yan, Depeng Yuan +8

The generation of ad headlines plays a vital role in modern advertising, where both quality and diversity are essential to engage a broad range of audience segments. Current approa…

cs.CL2025

InternBootcamp: Boosting LLM Reasoning with Verifiable Task Scaling

Peiji Li, Jiasheng Ye, Yongkang Chen +12

Large language models (LLMs) have revolutionized artificial intelligence by enabling complex reasoning capabilities. While recent advancements in reinforcement learning (RL) have p…

cs.CL2025

Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences

Kedi Chen, Zhikai Lei, Fan Zhang +7

Large language models make remarkable progress in reasoning capabilities. Existing works focus mainly on deductive reasoning tasks (e.g., code and math), while another type of reas…

cs.AI2025

Complete Chess Games Enable LLM Become A Chess Master

Yinqi Zhang, Xintian Han, Haolong Li +2

Large language models (LLM) have shown remarkable abilities in text generation, question answering, language translation, reasoning and many other tasks. It continues to advance ra…

cs.CL2025

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection

Kedi Chen, Qin Chen, Jie Zhou +7

Large Language Models (LLMs) are prone to hallucination with non-factual or unfaithful statements, which undermines the applications in real-world scenarios. Recent researches focu…