 meng-shao
			's Collections
			meng-shao
			's Collections
			
			
		AI Papers
		
	updated
			
 
				
				
 - DreamStruct: Understanding Slides and User Interfaces via Synthetic Data
  Generation- 
			Paper
			 •- 
			2410.00201
			 •
			Published
 - Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in
  Retrieval-Augmented Generation Systems- 
			Paper
			 •- 
			2409.19804
			 •
			Published
 - Rethinking Conventional Wisdom in Machine Learning: From Generalization
  to Scaling- 
			Paper
			 •- 
			2409.15156
			 •
			Published
 - Just ASR + LLM? A Study on Speech Large Language Models' Ability to
  Identify and Understand Speaker in Spoken Dialogue- 
			Paper
			 •- 
			2409.04927
			 •
			Published
 - Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers- 
			Paper
			 •- 
			2410.02642
			 •
			Published
 - L-CiteEval: Do Long-Context Models Truly Leverage Context for
  Responding?- 
			Paper
			 •- 
			2410.02115
			 •
			Published
				
			•- 
				10
			 
 - Distilling an End-to-End Voice Assistant Without Instruction Training
  Data- 
			Paper
			 •- 
			2410.02678
			 •
			Published
				
			•- 
				23
			 
 - Contrastive Localized Language-Image Pre-Training- 
			Paper
			 •- 
			2410.02746
			 •
			Published
				
			•- 
				37
			 
 - Depth Pro: Sharp Monocular Metric Depth in Less Than a Second- 
			Paper
			 •- 
			2410.02073
			 •
			Published
				
			•- 
				41
			 
 - SpreadsheetLLM: Encoding Spreadsheets for Large Language Models- 
			Paper
			 •- 
			2407.09025
			 •
			Published
				
			•- 
				139
			 
 - EmbedLLM: Learning Compact Representations of Large Language Models- 
			Paper
			 •- 
			2410.02223
			 •
			Published
				
			•- 
				3
			 
 - ToolGen: Unified Tool Retrieval and Calling via Generation- 
			Paper
			 •- 
			2410.03439
			 •
			Published
				
			•- 
				1
			 
 - TableRAG: Million-Token Table Understanding with Language Models- 
			Paper
			 •- 
			2410.04739
			 •
			Published
				
			•- 
				1
			 
 - 
			Paper
			 •- 
			2410.05258
			 •
			Published
				
			•- 
				179
			 
 - Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG- 
			Paper
			 •- 
			2410.05983
			 •
			Published
				
			•- 
				2
			 
 - SEGMENT+: Long Text Processing with Short-Context Language Models- 
			Paper
			 •- 
			2410.06519
			 •
			Published
 - StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via
  Inference-time Hybrid Information Structurization- 
			Paper
			 •- 
			2410.08815
			 •
			Published
				
			•- 
				47
			 
 - VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality
  Documents- 
			Paper
			 •- 
			2410.10594
			 •
			Published
				
			•- 
				29
			 
 - Harnessing Webpage UIs for Text-Rich Visual Understanding- 
			Paper
			 •- 
			2410.13824
			 •
			Published
				
			•- 
				31
			 
 - Optimizing Retrieval-Augmented Generation with Elasticsearch for
  Enhanced Question-Answering Systems- 
			Paper
			 •- 
			2410.14167
			 •
			Published
 - Sketch2Code: Evaluating Vision-Language Models for Interactive Web
  Design Prototyping- 
			Paper
			 •- 
			2410.16232
			 •
			Published
 - LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for
  Long-Context Question Answering- 
			Paper
			 •- 
			2410.18050
			 •
			Published
 - ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems- 
			Paper
			 •- 
			2410.19572
			 •
			Published
				
			•- 
				1
			 
 - Large Language Models Reflect the Ideology of their Creators- 
			Paper
			 •- 
			2410.18417
			 •
			Published
 - Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval- 
			Paper
			 •- 
			2410.23214
			 •
			Published
 - Search Engines in an AI Era: The False Promise of Factual and Verifiable
  Source-Cited Responses- 
			Paper
			 •- 
			2410.22349
			 •
			Published
 - Multi-expert Prompting Improves Reliability, Safety, and Usefulness of
  Large Language Models- 
			Paper
			 •- 
			2411.00492
			 •
			Published
				
			•- 
				6
			 
 - CORAG: A Cost-Constrained Retrieval Optimization System for
  Retrieval-Augmented Generation- 
			Paper
			 •- 
			2411.00744
			 •
			Published
 - Long Context RAG Performance of Large Language Models- 
			Paper
			 •- 
			2411.03538
			 •
			Published
				
			•- 
				1
			 
 - From Word Vectors to Multimodal Embeddings: Techniques, Applications,
  and Future Directions For Large Language Models- 
			Paper
			 •- 
			2411.05036
			 •
			Published
				
			•- 
				1
			 
 - Sufficient Context: A New Lens on Retrieval Augmented Generation Systems- 
			Paper
			 •- 
			2411.06037
			 •
			Published
				
			•- 
				1
			 
 - DataLab: A Unifed Platform for LLM-Powered Business Intelligence- 
			Paper
			 •- 
			2412.02205
			 •
			Published