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Collections including paper arxiv:2403.02884

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Paper • 2403.02884 • Published Mar 5 • 14
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Paper • 2402.03300 • Published Feb 5 • 61
Improving Small Language Models' Mathematical Reasoning via Mix Thoughts Distillation

Paper • 2401.11864 • Published Jan 22 • 2
Common 7B Language Models Already Possess Strong Math Capabilities

Paper • 2403.04706 • Published Mar 7 • 16

daily_paper_coll

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 50
Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29 • 45
StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29 • 126
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28 • 17

Datasets - Math

introspector/unimath

Updated Feb 12 • 1 • 6
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

Paper • 1905.13319 • Published May 30, 2019 • 2
Measuring Mathematical Problem Solving With the MATH Dataset

Paper • 2103.03874 • Published Mar 5, 2021 • 2
MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Paper • 2403.02884 • Published Mar 5 • 14

Orca-Math: Unlocking the potential of SLMs in Grade School Math

Paper • 2402.14830 • Published Feb 16 • 23
MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Paper • 2403.02884 • Published Mar 5 • 14
meta-math/MetaMath-Mistral-7B

Text Generation • Updated Dec 21, 2023 • 11.6k • 88
meta-math/MetaMath-13B-V1.0

Text Generation • Updated Dec 21, 2023 • 4.28k • 11

Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7 • 44
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15 • 55
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 46
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 91

How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 34
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 70
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6 • 176
MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Paper • 2403.02884 • Published Mar 5 • 14

Rethinking Optimization and Architecture for Tiny Language Models

Paper • 2402.02791 • Published Feb 5 • 12
More Agents Is All You Need

Paper • 2402.05120 • Published Feb 3 • 46
Scaling Laws for Forgetting When Fine-Tuning Large Language Models

Paper • 2401.05605 • Published Jan 11
Aligning Large Language Models with Counterfactual DPO

Paper • 2401.09566 • Published Jan 17 • 2

System 2 Attention (is something you might need too)

Paper • 2311.11829 • Published Nov 20, 2023 • 38
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Paper • 2311.11315 • Published Nov 19, 2023 • 6
Alignment for Honesty

Paper • 2312.07000 • Published Dec 12, 2023 • 11
Steering Llama 2 via Contrastive Activation Addition

Paper • 2312.06681 • Published Dec 9, 2023 • 9

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