Can large language models explore in-context?
Paper
• 2403.15371 • Published
• 33
Papers - Microsoft
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GaussianCube: Structuring Gaussian Splatting using Optimal Transport for 3D Generative Modeling
Paper • 2403.19655 • Published • 19 -
WavLLM: Towards Robust and Adaptive Speech Large Language Model
Paper • 2404.00656 • Published • 11 -
Enabling Memory Safety of C Programs using LLMs
Paper • 2404.01096 • Published • 1 -
LLM-ABR: Designing Adaptive Bitrate Algorithms via Large Language Models
Paper • 2404.01617 • Published • 8 -
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
Paper • 2204.08387 • Published • 8 -
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Paper • 2012.14740 • Published • 3 -
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
Paper • 1912.13318 • Published • 5 -
PIQA: Reasoning about Physical Commonsense in Natural Language
Paper • 1911.11641 • Published • 5 -
Are NLP Models really able to Solve Simple Math Word Problems?
Paper • 2103.07191 • Published • 1 -
Learning From Mistakes Makes LLM Better Reasoner
Paper • 2310.20689 • Published • 29 -
Orca: Progressive Learning from Complex Explanation Traces of GPT-4
Paper • 2306.02707 • Published • 49 -
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
Paper • 2109.10282 • Published • 12 -
RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis
Paper • 2404.03204 • Published • 10 -
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models
Paper • 2404.03118 • Published • 25 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 62 -
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
Paper • 2404.06209 • Published • 5 -
Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
Paper • 2404.03622 • Published • 5 -
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 94 -
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
Paper • 2404.07738 • Published • 2 -
GLIGEN: Open-Set Grounded Text-to-Image Generation
Paper • 2301.07093 • Published • 4 -
Grounded Language-Image Pre-training
Paper • 2112.03857 • Published • 3 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 259 -
Multi-Head Mixture-of-Experts
Paper • 2404.15045 • Published • 60 -
Deep Residual Learning for Image Recognition
Paper • 1512.03385 • Published • 12 -
You Only Cache Once: Decoder-Decoder Architectures for Language Models
Paper • 2405.05254 • Published • 10 -
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
Paper • 2406.08407 • Published • 28 -
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
Paper • 2311.06242 • Published • 95 -
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 36 -
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Paper • 2407.09025 • Published • 139 -
Differential Transformer
Paper • 2410.05258 • Published • 180 -
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs
Paper • 2410.16144 • Published • 5 -
Learning a SAT Solver from Single-Bit Supervision
Paper • 1802.03685 • Published • 1 -
Compiling C to Safe Rust, Formalized
Paper • 2412.15042 • Published • 1