How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper
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2406.11813
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Published
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29
Papers
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From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries
Paper • 2406.12824 • Published • 20 -
Tokenization Falling Short: The Curse of Tokenization
Paper • 2406.11687 • Published • 14 -
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level
Paper • 2406.11817 • Published • 13 -
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
Paper • 2406.19263 • Published • 9 -
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
Paper • 2406.19215 • Published • 29 -
LiteSearch: Efficacious Tree Search for LLM
Paper • 2407.00320 • Published • 37 -
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Paper • 2406.20094 • Published • 89 -
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Paper • 2407.02490 • Published • 23 -
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
Paper • 2407.00402 • Published • 22 -
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
Paper • 2407.00653 • Published • 11 -
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge
Paper • 2407.00088 • Published • 9 -
Show Less, Instruct More: Enriching Prompts with Definitions and Guidelines for Zero-Shot NER
Paper • 2407.01272 • Published • 8 -
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
Paper • 2407.01920 • Published • 13 -
Agentless: Demystifying LLM-based Software Engineering Agents
Paper • 2407.01489 • Published • 42 -
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Paper • 2407.01370 • Published • 84 -
How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical Questions
Paper • 2407.05015 • Published • 4 -
SEED-Story: Multimodal Long Story Generation with Large Language Model
Paper • 2407.08683 • Published • 22 -
Inference Performance Optimization for Large Language Models on CPUs
Paper • 2407.07304 • Published • 52 -
Case2Code: Learning Inductive Reasoning with Synthetic Data
Paper • 2407.12504 • Published • 7 -
Gemma 2: Improving Open Language Models at a Practical Size
Paper • 2408.00118 • Published • 72 -
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Paper • 2408.15545 • Published • 31