Yew Ken Chia

According to our database1, Yew Ken Chia authored at least 24 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models.
CoRR, 2024

SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages.
CoRR, 2024

Auto Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions.
CoRR, 2024

Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoning.
CoRR, 2024

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Contrastive Chain-of-Thought Prompting.
CoRR, 2023

Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning.
CoRR, 2023

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models.
CoRR, 2023

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models.
CoRR, 2023

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction.
CoRR, 2023

Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases.
CoRR, 2023

Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines.
CoRR, 2023

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Is GPT-3 a Good Data Annotator?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Single Image Video Prediction with Auto-Regressive GANs.
Sensors, 2022

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking.
CoRR, 2020

2019
Scene Graph Parsing by Attention Graph.
CoRR, 2019

Transformer to CNN: Label-scarce distillation for efficient text classification.
CoRR, 2019

Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019


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