activity
20182023
most citedUnifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

647 citations · 790 across the 13 of their papers we have counts for

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15 papers · 1 filter

cs.CL2023

Benchmarking Foundation Models with Language-Model-as-an-Examiner

Yushi Bai, Jiahao Ying, Yixin Cao +10

Numerous benchmarks have been established to assess the performance of foundation models on open-ended question answering, which serves as a comprehensive test of a model's ability…

cs.CL2023

Few-shot Event Detection: An Empirical Study and a Unified View

Yubo Ma, Zehao Wang, Yixin Cao +1

Few-shot event detection (ED) has been widely studied, while this brings noticeable discrepancies, e.g., various motivations, tasks, and experimental settings, that hinder the unde…

cs.CL2023

Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation

Xinze Li, Yixin Cao, Muhao Chen +1

Goal-oriented Script Generation is a new task of generating a list of steps that can fulfill the given goal. In this paper, we propose to extend the task from the perspective of co…

cs.CL2023

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate

Kai Xiong, Xiao Ding, Yixin Cao +2

Large Language Models (LLMs) have shown impressive capabilities in various applications, but they still face various inconsistency issues. Existing works primarily focus on the inc…

cs.CL2023

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Yubo Ma, Yixin Cao, YongChing Hong +1

Large Language Models (LLMs) have made remarkable strides in various tasks. Whether LLMs are competitive few-shot solvers for information extraction (IE) tasks, however, remains an…

cs.CL2022

RF: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference

Hao Wang, Yixin Cao, Yangguang Li +3

Document-level natural language inference (DOCNLI) is a new challenging task in natural language processing, aiming at judging the entailment relationship between a pair of hypothe…