Search Results - "Chia, Yew Ken"

Single Image Video Prediction with Auto-Regressive GANs by Huang, Jiahui, Chia, Yew Ken, Yu, Samson, Yee, Kevin, Küster, Dennis, Krumhuber, Eva G, Herremans, Dorien, Roig, Gemma

“…In this paper, we introduce an approach for future frames prediction based on a single input image. Our method is able to generate an entire video sequence…”
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Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation by Chia, Yew Ken, Witteveen, Sam, Andrews, Martin

“…The TextGraphs-13 Shared Task on Explanation Regeneration asked participants to develop methods to reconstruct gold explanations for elementary science…”
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Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models by Chia, Yew Ken, Sun, Qi, Bing, Lidong, Poria, Soujanya

“…Large multimodal models have demonstrated impressive problem-solving abilities in vision and language tasks, and have the potential to encode extensive world…”
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Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning by Ghosal, Deepanway, Chia, Yew Ken, Majumder, Navonil, Poria, Soujanya

“…Recently, the release of INSTRUCTEVAL has provided valuable insights into the performance of large language models (LLMs) that utilize encoder-decoder or…”
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INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models by Chia, Yew Ken, Hong, Pengfei, Bing, Lidong, Poria, Soujanya

“…Instruction-tuned large language models have revolutionized natural language processing and have shown great potential in applications such as conversational…”
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Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction by Xu, Lu, Chia, Yew Ken, Bing, Lidong

“…Aspect Sentiment Triplet Extraction (ASTE) is the most recent subtask of ABSA which outputs triplets of an aspect target, its associated sentiment, and the…”
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Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths by Chia, Yew Ken, Chen, Guizhen, Xu, Weiwen, Tuan, Luu Anh, Poria, Soujanya, Bing, Lidong

“…Advanced models such as OpenAI o1 exhibit impressive problem-solving capabilities through step-by-step reasoning. However, they may still falter on more…”
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Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions by Zhao, Ruochen, Zhang, Wenxuan, Chia, Yew Ken, Xu, Weiwen, Zhao, Deli, Bing, Lidong

“…As LLMs continuously evolve, there is an urgent need for a reliable evaluation method that delivers trustworthy results promptly. Currently, static benchmarks…”
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Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking by Chia, Yew Ken, Witteveen, Sam, Andrews, Martin

“…Explainable question answering for science questions is a challenging task that requires multi-hop inference over a large set of fact sentences. To counter the…”
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PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns by Chia, Yew Ken, Han, Vernon Toh Yan, Ghosal, Deepanway, Bing, Lidong, Poria, Soujanya

“…Large multimodal models extend the impressive capabilities of large language models by integrating multimodal understanding abilities. However, it is not clear…”
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Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoning by Ghosal, Deepanway, Han, Vernon Toh Yan, Ken, Chia Yew, Poria, Soujanya

“…This paper introduces the novel task of multimodal puzzle solving, framed within the context of visual question-answering. We present a new dataset,…”
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M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework by Chia, Yew Ken, Cheng, Liying, Chan, Hou Pong, Liu, Chaoqun, Song, Maojia, Aljunied, Sharifah Mahani, Poria, Soujanya, Bing, Lidong

“…The ability to understand and answer questions over documents can be useful in many business and practical applications. However, documents often contain…”
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RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction by Chia, Yew Ken, Bing, Lidong, Poria, Soujanya, Si, Luo

“…Despite the importance of relation extraction in building and representing knowledge, less research is focused on generalizing to unseen relations types. We…”
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Contrastive Chain-of-Thought Prompting by Chia, Yew Ken, Chen, Guizhen, Tuan, Luu Anh, Poria, Soujanya, Bing, Lidong

“…Despite the success of chain of thought in enhancing language model reasoning, the underlying process remains less well understood. Although logically sound…”
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M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models by Zhang, Wenxuan, Aljunied, Sharifah Mahani, Gao, Chang, Chia, Yew Ken, Bing, Lidong

“…Despite the existence of various benchmarks for evaluating natural language processing models, we argue that human exams are a more suitable means of…”
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Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction by Chia, Yew Ken, Chen, Hui, Han, Wei, Chen, Guizhen, Aljunied, Sharifah Mahani, Poria, Soujanya, Bing, Lidong

“…Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in sentiment analysis, aiming to provide fine-grained insights into human sentiments. However,…”
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Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources by Li, Xingxuan, Zhao, Ruochen, Chia, Yew Ken, Ding, Bosheng, Joty, Shafiq, Poria, Soujanya, Bing, Lidong

“…We present chain-of-knowledge (CoK), a novel framework that augments large language models (LLMs) by dynamically incorporating grounding information from…”
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Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines by Zhao, Ruochen, Li, Xingxuan, Chia, Yew Ken, Ding, Bosheng, Bing, Lidong

“…Although large conversational AI models such as OpenAI's ChatGPT have demonstrated great potential, we question whether such models can guarantee factual…”
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Scene Graph Parsing by Attention Graph by Andrews, Martin, Chia, Yew Ken, Witteveen, Sam

“…Scene graph representations, which form a graph of visual object nodes together with their attributes and relations, have proved useful across a variety of…”
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Transformer to CNN: Label-scarce distillation for efficient text classification by Chia, Yew Ken, Witteveen, Sam, Andrews, Martin

“…Significant advances have been made in Natural Language Processing (NLP) modelling since the beginning of 2018. The new approaches allow for accurate results,…”
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