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	Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A SurveyPaper • 2308.08234 • Published • 1
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	Understanding and Improving Information Transfer in Multi-Task LearningPaper • 2005.00944 • Published • 1
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	Improving Multi-task Learning via Seeking Task-based Flat RegionsPaper • 2211.13723 • Published • 3
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	Improvable Gap Balancing for Multi-Task LearningPaper • 2307.15429 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:2305.07230 
						
					
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	CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and GeneralizationPaper • 2310.10134 • Published • 1
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	TiC-CLIP: Continual Training of CLIP ModelsPaper • 2310.16226 • Published • 9
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	In-Context Pretraining: Language Modeling Beyond Document BoundariesPaper • 2310.10638 • Published • 30
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	Controlled Decoding from Language ModelsPaper • 2310.17022 • Published • 15
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	Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMsPaper • 2310.13961 • Published • 5
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	Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMsPaper • 2309.09582 • Published • 4
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	Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language ModelsPaper • 2310.13127 • Published • 12
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	Evaluating the Robustness to Instructions of Large Language ModelsPaper • 2308.14306 • Published • 1
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	Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question AnsweringPaper • 2204.04581 • Published • 1
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	Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about CodePaper • 2303.08033 • Published • 1
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	CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question AnsweringPaper • 2305.14869 • Published • 1
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	Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question AnsweringPaper • 2305.05936 • Published • 1
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	Ada-Instruct: Adapting Instruction Generators for Complex ReasoningPaper • 2310.04484 • Published • 5
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	Diversity of Thought Improves Reasoning Abilities of Large Language ModelsPaper • 2310.07088 • Published • 5
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	Adapting Large Language Models via Reading ComprehensionPaper • 2309.09530 • Published • 81
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	Democratizing Reasoning Ability: Tailored Learning from Large Language ModelPaper • 2310.13332 • Published • 16
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	Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A SurveyPaper • 2308.08234 • Published • 1
- 
	
	
	Understanding and Improving Information Transfer in Multi-Task LearningPaper • 2005.00944 • Published • 1
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	Improving Multi-task Learning via Seeking Task-based Flat RegionsPaper • 2211.13723 • Published • 3
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	Improvable Gap Balancing for Multi-Task LearningPaper • 2307.15429 • Published • 1
- 
	
	
	Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question AnsweringPaper • 2204.04581 • Published • 1
- 
	
	
	Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about CodePaper • 2303.08033 • Published • 1
- 
	
	
	CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question AnsweringPaper • 2305.14869 • Published • 1
- 
	
	
	Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question AnsweringPaper • 2305.05936 • Published • 1
- 
	
	
	CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and GeneralizationPaper • 2310.10134 • Published • 1
- 
	
	
	TiC-CLIP: Continual Training of CLIP ModelsPaper • 2310.16226 • Published • 9
- 
	
	
	In-Context Pretraining: Language Modeling Beyond Document BoundariesPaper • 2310.10638 • Published • 30
- 
	
	
	Controlled Decoding from Language ModelsPaper • 2310.17022 • Published • 15
- 
	
	
	Ada-Instruct: Adapting Instruction Generators for Complex ReasoningPaper • 2310.04484 • Published • 5
- 
	
	
	Diversity of Thought Improves Reasoning Abilities of Large Language ModelsPaper • 2310.07088 • Published • 5
- 
	
	
	Adapting Large Language Models via Reading ComprehensionPaper • 2309.09530 • Published • 81
- 
	
	
	Democratizing Reasoning Ability: Tailored Learning from Large Language ModelPaper • 2310.13332 • Published • 16
- 
	
	
	Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMsPaper • 2310.13961 • Published • 5
- 
	
	
	Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMsPaper • 2309.09582 • Published • 4
- 
	
	
	Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language ModelsPaper • 2310.13127 • Published • 12
- 
	
	
	Evaluating the Robustness to Instructions of Large Language ModelsPaper • 2308.14306 • Published • 1
