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LLM Pruning and Distillation in Practice: The Minitron Approach
Paper • 2408.11796 • Published • 53 -
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Paper • 2408.09174 • Published • 51 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 40 -
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Paper • 2408.11878 • Published • 48
Collections
Discover the best community collections!
Collections including paper arxiv:2409.12917
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Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 37 -
On the limits of agency in agent-based models
Paper • 2409.10568 • Published • 13 -
On the Diagram of Thought
Paper • 2409.10038 • Published • 9 -
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
Paper • 2409.07703 • Published • 59
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STaR: Bootstrapping Reasoning With Reasoning
Paper • 2203.14465 • Published • 2 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 42 -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 13 -
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper • 2311.04934 • Published • 28
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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 75 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 16
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To Believe or Not to Believe Your LLM
Paper • 2406.02543 • Published • 31 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 71 -
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
Paper • 2408.07199 • Published • 20 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 9
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FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 24 -
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 32 -
Transformers Can Do Arithmetic with the Right Embeddings
Paper • 2405.17399 • Published • 51 -
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture
Paper • 2405.18991 • Published • 12
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Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 83 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 15 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 24 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 24
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 141 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 109 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 41 -
Learning From Mistakes Makes LLM Better Reasoner
Paper • 2310.20689 • Published • 28