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Yew Ken Chia
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2020 – today
- 2024
- [c9]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: 16259-16273 - [c8]Yew Ken Chia, Guizhen Chen, Weiwen Xu, Anh Tuan Luu, Soujanya Poria, Lidong Bing:
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. EMNLP (Findings) 2024: 16763-16780 - [c7]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 - [i21]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 abs/2403.03864 (2024) - [i20]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 abs/2403.13315 (2024) - [i19]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 abs/2405.20267 (2024) - [i18]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 abs/2407.19672 (2024) - [i17]Yew Ken Chia, Qi Sun, Lidong Bing, Soujanya Poria:
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models. CoRR abs/2409.14277 (2024) - [i16]Yew Ken Chia, Guizhen Chen, Weiwen Xu, Luu Anh Tuan, Soujanya Poria, Lidong Bing:
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. CoRR abs/2410.10858 (2024) - [i15]Yew Ken Chia, Liying Cheng, Hou Pong Chan, Chaoqun Liu, Maojia Song, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing:
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework. CoRR abs/2411.06176 (2024) - 2023
- [c6]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: 11173-11195 - [c5]Wenxuan Zhang, Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing:
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. NeurIPS 2023 - [i14]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 abs/2304.11076 (2023) - [i13]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 abs/2305.13269 (2023) - [i12]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 abs/2305.14434 (2023) - [i11]Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria:
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models. CoRR abs/2306.04757 (2023) - [i10]Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing:
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. CoRR abs/2306.05179 (2023) - [i9]Deepanway Ghosal, Yew Ken Chia, Navonil Majumder, Soujanya Poria:
Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning. CoRR abs/2307.02053 (2023) - [i8]Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, Soujanya Poria, Lidong Bing:
Contrastive Chain-of-Thought Prompting. CoRR abs/2311.09277 (2023) - 2022
- [j1]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): 3533 (2022) - [c4]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: 45-57 - [c3]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: 10114-10133 - [i7]Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si:
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. CoRR abs/2203.09101 (2022) - [i6]Yew Ken Chia, Lidong Bing, Sharifah Aljunied Mahani, Luo Si, Soujanya Poria:
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. CoRR abs/2211.10018 (2022) - 2021
- [c2]Lu Xu, Yew Ken Chia, Lidong Bing:
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. ACL/IJCNLP (1) 2021: 4755-4766 - [i5]Lu Xu, Yew Ken Chia, Lidong Bing:
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. CoRR abs/2107.12214 (2021) - 2020
- [i4]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 abs/2012.14164 (2020)
2010 – 2019
- 2019
- [c1]Yew Ken Chia, Sam Witteveen, Martin Andrews:
Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation. TextGraphs@EMNLP 2019: 85-89 - [i3]Yew Ken Chia, Sam Witteveen, Martin Andrews:
Transformer to CNN: Label-scarce distillation for efficient text classification. CoRR abs/1909.03508 (2019) - [i2]Martin Andrews, Yew Ken Chia, Sam Witteveen:
Scene Graph Parsing by Attention Graph. CoRR abs/1909.06273 (2019) - [i1]Yew Ken Chia, Sam Witteveen, Martin Andrews:
Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation. CoRR abs/1911.08976 (2019)
Coauthor Index
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last updated on 2025-01-02 18:12 CET by the dblp team
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