Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation. - Yew Ken Chia; Sam Witteveen; Martin Andrews (TextGraphs@EMNLP, 2019)

Transformer to CNN: Label-scarce distillation for efficient text classification. - Yew Ken Chia; Sam Witteveen; Martin Andrews (CoRR, 2019)

Scene Graph Parsing by Attention Graph. - Martin Andrews; Yew Ken Chia; Sam Witteveen (CoRR, 2019)

Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking. - Yew Ken Chia; Sam Witteveen; Martin Andrews (CoRR, 2020)

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. - Lu Xu 007; Yew Ken Chia; Lidong Bing (ACL/IJCNLP (1), 2021)

RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. - Yew Ken Chia; Lidong Bing; Soujanya Poria; Luo Si (ACL (Findings), 2022)

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. - Yew Ken Chia; Lidong Bing; Sharifah Mahani Aljunied; Luo Si; Soujanya Poria (EMNLP, 2022)

Single Image Video Prediction with Auto-Regressive GANs. - Jiahui Huang; Yew Ken Chia; Samson Yu 001; Kevin Yee; Dennis Küster; Eva Krumhuber; Dorien Herremans; Gemma Roig (Sensors, 2022)

Is GPT-3 a Good Data Annotator? - Bosheng Ding; Chengwei Qin; Linlin Liu; Yew Ken Chia; Boyang Li 001; Shafiq Joty; Lidong Bing (ACL (1), 2023)

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. - Wenxuan Zhang 001; Mahani Aljunied; Chang Gao; Yew Ken Chia; Lidong Bing (NeurIPS, 2023)

Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines. - Ruochen Zhao; Xingxuan Li; Yew Ken Chia; Bosheng Ding; Lidong Bing (CoRR, 2023)

Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases. - Xingxuan Li; Ruochen Zhao; Yew Ken Chia; Bosheng Ding; Lidong Bing; Shafiq R. Joty; Soujanya Poria (CoRR, 2023)

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction. - Yew Ken Chia; Hui Chen 023; Wei Han 002; Guizhen Chen; Sharifah Mahani Aljunied; Soujanya Poria; Lidong Bing (CoRR, 2023)

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models. - Yew Ken Chia; Pengfei Hong; Lidong Bing; Soujanya Poria (CoRR, 2023)

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. - Wenxuan Zhang 001; Sharifah Mahani Aljunied; Chang Gao; Yew Ken Chia; Lidong Bing (CoRR, 2023)

Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning. - Deepanway Ghosal; Yew Ken Chia; Navonil Majumder; Soujanya Poria (CoRR, 2023)

Contrastive Chain-of-Thought Prompting. - Yew Ken Chia; Guizhen Chen; Luu Anh Tuan; Soujanya Poria; Lidong Bing (CoRR, 2023)

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. - Yew Ken Chia; Vernon Toh; Deepanway Ghosal; Lidong Bing; Soujanya Poria (ACL (Findings), 2024)

Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. - Yew Ken Chia; Guizhen Chen; Weiwen Xu; Anh Tuan Luu; Soujanya Poria; Lidong Bing (EMNLP (Findings), 2024)

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources. - Xingxuan Li; Ruochen Zhao; Yew Ken Chia; Bosheng Ding; Shafiq Joty; Soujanya Poria; Lidong Bing (ICLR, 2024)

Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoning. - Deepanway Ghosal; Vernon Toh Yan Han; Yew Ken Chia; Soujanya Poria (CoRR, 2024)

Auto Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions. - Ruochen Zhao; Wenxuan Zhang 001; Yew Ken Chia; Deli Zhao; Lidong Bing (CoRR, 2024)

SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages. - Wenxuan Zhang 001; Hou Pong Chan; Yiran Zhao 006; Mahani Aljunied; Jianyu Wang; Chaoqun Liu; Yue Deng 010; Zhiqiang Hu; Weiwen Xu; Yew Ken Chia; Xin Li 056; Lidong Bing (CoRR, 2024)

Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models. - Yew Ken Chia; Qi Sun; Lidong Bing; Soujanya Poria (CoRR, 2024)

M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework. - Yew Ken Chia; Liying Cheng; Hou Pong Chan; Chaoqun Liu; Maojia Song; Sharifah Mahani Aljunied; Soujanya Poria; Lidong Bing (CoRR, 2024)

Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions. - Ruochen Zhao; Wenxuan Zhang 001; Yew Ken Chia; Weiwen Xu; Deli Zhao; Lidong Bing (ACL (1), 2025)

AlgoPuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Algorithmic Multimodal Puzzles. - Deepanway Ghosal; Vernon Toh; Yew Ken Chia; Soujanya Poria (NAACL (Long Papers), 2025)

The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles. - Vernon Toh Yan Han; Yew Ken Chia; Deepanway Ghosal; Soujanya Poria (CoRR, 2025)

PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference. - Weisheng Jin; Maojia Song; Pala Tej Deep; Yew Ken Chia; Amir Zadeh 001; Chuan Li; Soujanya Poria (CoRR, 2025)