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20222026
most citedCLLMate: A Multimodal Benchmark for Weather and Climate Events Forecasting

4 citations · 12 across the 23 of their papers we have counts for

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Showing 2024Show all

10 papers · 1 filter

cs.CL2024

ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty

Qing Zong, Zhaowei Wang, Tianshi Zheng +2

The rapid development of LLMs has sparked extensive research into their factual knowledge. Current works find that LLMs fall short on questions around low-frequency entities. Howev…

cs.CL2024★ 1 cited

What Really is Commonsense Knowledge?

Quyet V. Do, Junze Li, Tung-Duong Vuong +3

Commonsense datasets have been well developed in Natural Language Processing, mainly through crowdsource human annotation. However, there are debates on the genuineness of commonse…

cs.CL2024

Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction

Kaiqiao Han, Tianqing Fang, Zhaowei Wang +2

While Large Language Models (LLMs) have showcased remarkable proficiency in reasoning, there is still a concern about hallucinations and unreliable reasoning issues due to semantic…

cs.CV2024

DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes

Zhaowei Wang, Hongming Zhang, Tianqing Fang +6

Large Vision-Language Models (LVLMs) have achieved significant progress in tasks like visual question answering and document understanding. However, their potential to comprehend e…

cs.LG2024★ 4 cited

CLLMate: A Multimodal Benchmark for Weather and Climate Events Forecasting

Haobo Li, Zhaowei Wang, Jiachen Wang +3

Forecasting weather and climate events is crucial for making appropriate measures to mitigate environmental hazards and minimize losses. However, existing environmental forecasting…

cs.CL2024

CodeGraph: Enhancing Graph Reasoning of LLMs with Code

Qiaolong Cai, Zhaowei Wang, Shizhe Diao +2

With the increasing popularity of large language models (LLMs), reasoning on basic graph algorithm problems is an essential intermediate step in assessing their abilities to proces…

cs.CL2024

KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument Mining

Zihao Zheng, Zhaowei Wang, Qing Zong +1

Dialogical Argument Mining(DialAM) is an important branch of Argument Mining(AM). DialAM-2024 is a shared task focusing on dialogical argument mining, which requires us to identify…

cs.CL2024

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation

Zhaowei Wang, Wei Fan, Qing Zong +7

Abstraction ability is crucial in human intelligence, which can also benefit various tasks in NLP study. Existing work shows that LLMs are deficient in abstract ability, and how to…

cs.CL2024

ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases

Quyet V. Do, Tianqing Fang, Shizhe Diao +2

Reasoning over Commonsense Knowledge Bases (CSKB), i.e. CSKB reasoning, has been explored as a way to acquire new commonsense knowledge based on reference knowledge in the original…

cs.CL2024★ 1 cited

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning

Weiqi Wang, Tianqing Fang, Chunyang Li +9

The sequential process of conceptualization and instantiation is essential to generalizable commonsense reasoning as it allows the application of existing knowledge to unfamiliar s…