Publications

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns
[Paper][Code][Blog][Data]
Yew Ken Chia, Vernon Toh Yan Han, Deepanway Ghosal, Lidong Bing, Soujanya Poria
In ACL Findings 2024

InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
[Paper][Code]
Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria
In Scale-LLM 2024 (Best Paper)

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
[Paper][Code]
Xingxuan Li*, Ruochen Zhao*, Yew Ken Chia*, Bosheng Ding, Shafiq Joty and Soujanya Poria, Lidong Bing
In ICLR 2023

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach
[Paper][Code]
Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria
In EMNLP 2022

RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction.
[Paper][Code]
Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si
In ACL Findings 2022

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
[Paper][Code]
Lu Xu*, Yew Ken Chia*, Lidong Bing
In ACL 2021

LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking
[Paper][Code]
Yew Ken Chia, Sam Witteveen, Martin Andrews
In EMNLP 2020 (TextGraphs Workshop)

Language Model Assisted Explanation Generation
[Paper][Code]
Yew Ken Chia, Sam Witteveen, Martin Andrews
In EMNLP 2019 (TextGraphs Workshop)

Transformer to CNN: Label-Scarce Distillation for Efficient Text Classification
[Paper][Code]
Yew Ken Chia, Sam Witteveen, Martin Andrews
In NeurIPS 2018 (CDNNRIA Workshop)

*Equal contribution.