most citedDAIL: Data Augmentation for In-Context Learning via Self-Paraphrase

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2024★ 1 cited

Optimizing Language Model's Reasoning Abilities with Weak Supervision

Yongqi Tong, Sizhe Wang, Dawei Li +6

While Large Language Models (LLMs) have demonstrated proficiency in handling complex queries, much of the past work has depended on extensively annotated datasets by human experts.…

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.CL2024

Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Yongqi Tong, Dawei Li, Sizhe Wang +3

Recent works have shown the benefits to LLMs from fine-tuning golden-standard Chain-of-Thought (CoT) rationales or using them as correct examples in few-shot prompting. While human…

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★ 1 cited

DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase

Dawei Li, Yaxuan Li, Dheeraj Mekala +5

In-Context Learning (ICL) combined with pre-trained large language models has achieved promising results on various NLP tasks. However, ICL requires high-quality annotated demonstr…

cs.CL2023

ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation

Zi Lin, Zihan Wang, Yongqi Tong +4

Despite remarkable advances that large language models have achieved in chatbots, maintaining a non-toxic user-AI interactive environment has become increasingly critical nowadays.…

cs.LG2023

Critique Ability of Large Language Models

Liangchen Luo, Zi Lin, Yinxiao Liu +4

Critical thinking is essential for rational decision-making and problem-solving. This skill hinges on the ability to provide precise and reasoned critiques and is a hallmark of hum…