 wiredmau5
			's Collections
			wiredmau5
			's Collections
			
			
		Papers to Read
		
	updated
			
 
				
				
 - JudgeLM: Fine-tuned Large Language Models are Scalable Judges- 
			Paper
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			2310.17631
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			Published
				
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				35
			 
 - AgentTuning: Enabling Generalized Agent Abilities for LLMs- 
			Paper
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			2310.12823
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			Published
				
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				36
			 
 - G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment- 
			Paper
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			2303.16634
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			Published
				
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				3
			 
 - GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for
  Reasoning Problems- 
			Paper
			 •- 
			2310.12397
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			Published
				
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				1
			 
 - Can Large Language Models Really Improve by Self-critiquing Their Own
  Plans?- 
			Paper
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			2310.08118
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			Published
				
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				1
			 
 - Reasoning with Language Model is Planning with World Model- 
			Paper
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			2305.14992
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			Published
				
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				4
			 
 - Active Retrieval Augmented Generation- 
			Paper
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			2305.06983
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			Published
				
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				3
			 
 - Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks- 
			Paper
			 •- 
			2005.11401
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			Published
				
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				13
			 
 - Chain-of-Verification Reduces Hallucination in Large Language Models- 
			Paper
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			2309.11495
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			Published
				
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				39
			 
 - Progressive-Hint Prompting Improves Reasoning in Large Language Models- 
			Paper
			 •- 
			2304.09797
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			Published
				
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				1
			 
 - Complexity-Based Prompting for Multi-Step Reasoning- 
			Paper
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			2210.00720
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			Published
				
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				1
			 
 - Reframing Instructional Prompts to GPTk's Language- 
			Paper
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			2109.07830
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			Published
				
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				1
			 
 - Evaluating Large Language Models: A Comprehensive Survey- 
			Paper
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			2310.19736
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			Published
				
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				2
			 
 - Improving Factuality and Reasoning in Language Models through Multiagent
  Debate- 
			Paper
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			2305.14325
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			Published
				
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				2
			 
 - Self-RAG: Learning to Retrieve, Generate, and Critique through
  Self-Reflection- 
			Paper
			 •- 
			2310.11511
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			Published
				
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				78
			 
 - FrugalGPT: How to Use Large Language Models While Reducing Cost and
  Improving Performance- 
			Paper
			 •- 
			2305.05176
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			Published
				
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				6
			 
 - RA-DIT: Retrieval-Augmented Dual Instruction Tuning- 
			Paper
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			2310.01352
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			Published
				
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				7
			 
 - The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"- 
			Paper
			 •- 
			2309.12288
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			Published
				
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				2
			 
 - Rephrase and Respond: Let Large Language Models Ask Better Questions for
  Themselves- 
			Paper
			 •- 
			2311.04205
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			Published
				
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				5
			 
 - LLMs cannot find reasoning errors, but can correct them!- 
			Paper
			 •- 
			2311.08516
			 •
			Published
				
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				1
			 
 - Orca 2: Teaching Small Language Models How to Reason- 
			Paper
			 •- 
			2311.11045
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			Published
				
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				77
			 
 - Self-Discover: Large Language Models Self-Compose Reasoning Structures- 
			Paper
			 •- 
			2402.03620
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			Published
				
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				117