Ying Shen
Ying Shen
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X-EVAL: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
Natural Language Generation (NLG) typically involves evaluating the generated text in various aspects (e.g., consistency and …
Minqian Liu
,
Ying Shen
,
Zhiyang Xu
,
Yixin Cao
,
Eunah Cho
,
Vaibhav Kumar
,
Reza Ghanadan
,
Lifu Huang
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MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks
Automatically generating scripts (i.e. sequences of key steps described in text) from video demonstrations and reasoning about the …
Jingyuan Qi
,
Minqian Liu
,
Ying Shen
,
Zhiyang Xu
,
Lifu Huang
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MULTIINSTRUCT: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning
Instruction tuning, a new learning paradigm that fine-tunes pre-trained language models on tasks specified through instructions, has …
Zhiyang Xu
,
Ying Shen
,
Lifu Huang
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Poster
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The Art of Socratic Questioning: Recursive Thinking with Lange Language Models
Chain-of-Thought (CoT) prompting enables large language models to solve complex reasoning problems by generating intermediate steps. …
Jingyuan Qi
,
Zhiyang Xu
,
Ying Shen
,
Minqian Liu
,
Di Jin
,
Qifan Wang
,
Lifu Huang
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Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviours
Humans convey their intentions through the usage of both verbal and nonverbal behaviors during face-to-face communication. Speaker …
Yansen Wang
,
Ying Shen
,
Zhun Liu
,
Paul Liang
,
Amir Zadeh
,
Louis-Philippe Morency
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Code
Poster
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Efficient Low-rank Multimodal Fusion with Modality-Specific Factors
Multimodal research is an emerging field of artificial intelligence, and one of the main research problems in this field is multimodal …
Zhun Liu
,
Ying Shen
,
Varun Bharadhwaj
,
Paul Liang
,
Amir Zadeh
,
Louis-Philippe Morency
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