Yew Ken Chia

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Ad Hoc Information Retrieval

Crossword Puzzles

Heterogeneous Sources

Top Venues

Publications

Deepanway Ghosal, Vernon Toh Yan Han, Yew Ken Chia, Soujanya Poria
Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoning. CoRR (2024)
Wenxuan Zhang, Hou Pong Chan, Yiran Zhao, Mahani Aljunied, Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu, Yew Ken Chia, Xin Li, Lidong Bing
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages. CoRR (2024)
Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources. ICLR (2024)
Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, Deli Zhao, Lidong Bing
Auto Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions. CoRR (2024)
Yew Ken Chia, Vernon Toh, Deepanway Ghosal, Lidong Bing, Soujanya Poria
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. ACL (Findings) (2024)
Yew Ken Chia, Vernon Toh Yan Han, Deepanway Ghosal, Lidong Bing, Soujanya Poria
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. CoRR (2024)
Deepanway Ghosal, Yew Ken Chia, Navonil Majumder, Soujanya Poria
Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning. CoRR (2023)
Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. CoRR (2023)
Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, Lidong Bing
Is GPT-3 a Good Data Annotator? ACL (1) (2023)
Yew Ken Chia, Hui Chen, Wei Han, Guizhen Chen, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction. CoRR (2023)
Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, Soujanya Poria, Lidong Bing
Contrastive Chain-of-Thought Prompting. CoRR (2023)
Ruochen Zhao, Xingxuan Li, Yew Ken Chia, Bosheng Ding, Lidong Bing
Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines. CoRR (2023)
Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models. CoRR (2023)
Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Soujanya Poria
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases. CoRR (2023)
Wenxuan Zhang, Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. NeurIPS (2023)
Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. EMNLP (2022)
Jiahui Huang, Yew Ken Chia, Samson Yu, Kevin Yee, Dennis Küster, Eva Krumhuber, Dorien Herremans, Gemma Roig
Single Image Video Prediction with Auto-Regressive GANs. Sensors 22 (9) (2022)
Yew Ken Chia, Lidong Bing, Sharifah Aljunied Mahani, Luo Si, Soujanya Poria
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. CoRR (2022)
Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. CoRR (2022)
Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. ACL (Findings) (2022)
Lu Xu, Yew Ken Chia, Lidong Bing
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. CoRR (2021)
Lu Xu, Yew Ken Chia, Lidong Bing
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. ACL/IJCNLP (1) (2021)
Yew Ken Chia, Sam Witteveen, Martin Andrews
Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking. CoRR (2020)
Yew Ken Chia, Sam Witteveen, Martin Andrews
Transformer to CNN: Label-scarce distillation for efficient text classification. CoRR (2019)
Yew Ken Chia, Sam Witteveen, Martin Andrews
Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation. TextGraphs@EMNLP (2019)
Martin Andrews, Yew Ken Chia, Sam Witteveen
Scene Graph Parsing by Attention Graph. CoRR (2019)
Yew Ken Chia, Sam Witteveen, Martin Andrews
Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation. CoRR (2019)