most citedNTK-SAP: Improving neural network pruning by aligning training dynamics

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cs.CL2024

READ: Improving Relation Extraction from an ADversarial Perspective

Dawei Li, William Hogan, Jingbo Shang

Recent works in relation extraction (RE) have achieved promising benchmark accuracy; however, our adversarial attack experiments show that these works excessively rely on entities,…

cs.CL20246 cited

Contextualization Distillation from Large Language Model for Knowledge Graph Completion

Dawei Li, Zhen Tan, Tianlong Chen +1

While textual information significantly enhances the performance of pre-trained language models (PLMs) in knowledge graph completion (KGC), the static and noisy nature of existing…

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.CL2023

Multi-level Contrastive Learning for Script-based Character Understanding

Dawei Li, Hengyuan Zhang, Yanran Li +1

In this work, we tackle the scenario of understanding characters in scripts, which aims to learn the characters' personalities and identities from their utterances. We begin by ana…

cs.CL2023

Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning

Hengyuan Zhang, Dawei Li, Yanran Li +3

The standard definition generation task requires to automatically produce mono-lingual definitions (e.g., English definitions for English words), but ignores that the generated def…