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Runxuan Liu

2 accepted papers

2025

Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution

ACL 2025finding

The release of OpenAI’s O1 and subsequent projects like DeepSeek R1 has significantly advanced research on complex reasoning in LLMs. This paper systematically analyzes existing reasoning studies from the perspective of self-evolution, structured into three components: data evolution, model evolutio…

Cited by 0SourcePDFScholar
2025

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering

ACL 2025long

Large language models (LLMs) have shown remarkable capabilities in natural language processing. However, in knowledge graph question answering tasks (KGQA), there remains the issue of answering questions that require multi-hop reasoning. Existing methods rely on entity vector matching, but the purpo…

Cited by 0SourcePDFScholar