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AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts
Paper • 2402.07625 • Published • 10 -
Rethinking Data Selection for Supervised Fine-Tuning
Paper • 2402.06094 • Published • 1 -
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 45 -
TnT-LLM: Text Mining at Scale with Large Language Models
Paper • 2403.12173 • Published • 17
Collections
Discover the best community collections!
Collections including paper arxiv:2402.10176
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 135 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 19 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 62
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Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Paper • 2312.06585 • Published • 26 -
TinyGSM: achieving >80% on GSM8k with small language models
Paper • 2312.09241 • Published • 34 -
SciPhi/AgentSearch-V1
Viewer • Updated • 81 -
Data Filtering Networks
Paper • 2309.17425 • Published • 6
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A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 15 -
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Paper • 2312.08583 • Published • 9 -
Vision-Language Models as a Source of Rewards
Paper • 2312.09187 • Published • 10 -
StemGen: A music generation model that listens
Paper • 2312.08723 • Published • 45
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Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
Paper • 2311.06783 • Published • 25 -
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning
Paper • 2311.07574 • Published • 13 -
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding
Paper • 2401.04575 • Published • 14 -
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
Paper • 2402.00159 • Published • 55
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OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Paper • 2402.10176 • Published • 33 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 50 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 46 -
Matryoshka Representation Learning
Paper • 2205.13147 • Published • 7
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KwaiYiiMath: Technical Report
Paper • 2310.07488 • Published • 2 -
Forward-Backward Reasoning in Large Language Models for Mathematical Verification
Paper • 2308.07758 • Published • 4 -
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
Paper • 2309.10814 • Published • 3 -
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Paper • 2310.03731 • Published • 25
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Creative Robot Tool Use with Large Language Models
Paper • 2310.13065 • Published • 7 -
CodeCoT and Beyond: Learning to Program and Test like a Developer
Paper • 2308.08784 • Published • 5 -
Lemur: Harmonizing Natural Language and Code for Language Agents
Paper • 2310.06830 • Published • 29 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 69
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Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 1 -
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Paper • 2308.13259 • Published • 2 -
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Paper • 2309.05653 • Published • 9 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 16