36 citations · 68 across the 10 of their papers we have counts for
7 papers · 1 filter
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
Jinjie Ni, Fuzhao Xue, Xiang Yue +5
Evaluating large language models (LLMs) is challenging. Traditional ground-truth-based benchmarks fail to capture the comprehensiveness and nuance of real-world queries, while LLM-…
A Survey on Semantic Processing Techniques
Rui Mao, Kai He, Xulang Zhang +4
Semantic processing is a fundamental research domain in computational linguistics. In the era of powerful pre-trained language models and large language models, the advancement of…
Adaptive Knowledge Distillation between Text and Speech Pre-trained Models
Jinjie Ni, Yukun Ma, Wen Wang +7
Learning on a massive amount of speech corpus leads to the recent success of many self-supervised speech models. With knowledge distillation, these models may also benefit from the…
Logical Reasoning over Natural Language as Knowledge Representation: A Survey
Zonglin Yang, Xinya Du, Rui Mao +2
Logical reasoning is central to human cognition and intelligence. It includes deductive, inductive, and abductive reasoning. Past research of logical reasoning within AI uses forma…
Fusing task-oriented and open-domain dialogues in conversational agents
Tom Young, Frank Xing, Vlad Pandelea +2
The goal of building intelligent dialogue systems has largely been separately pursued under two paradigms: task-oriented dialogue (TOD) systems, which perform goal-oriented functio…
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey
Jinjie Ni, Tom Young, Vlad Pandelea +2
Dialogue systems are a popular natural language processing (NLP) task as it is promising in real-life applications. It is also a complicated task since many NLP tasks deserving stu…
An Embarrassingly Simple Model for Dialogue Relation Extraction
Fuzhao Xue, Aixin Sun, Hao Zhang +2
Dialogue relation extraction (RE) is to predict the relation type of two entities mentioned in a dialogue. In this paper, we propose a simple yet effective model named SimpleRE for…