Papers by Zhihao Lv

2 papers
Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation (2025.findings-emnlp)

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Challenge: Event extraction is a task in natural language processing that involves identifying and extracting event information from unstructured text.
Approach: They propose a paradigm that combines schema paraphrasing with schema retrieval-augmented generation.
Outcome: The proposed paradigm retrieves paraphrased schemas and accurately generates targeted structures.
Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering (2025.acl-long)

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Challenge: Existing work finds that long CoT reasoning can be efficiently elicited by tuning on only a few examples and can easily transfer to other tasks.
Approach: They propose a representation engineering method to unleash the general long CoT reasoning capabilities of LLMs.
Outcome: The proposed method is effective in in-domain and cross-domain scenarios.

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