Collections
Discover the best community collections!
Collections including paper arxiv:2312.09241
-
TinyGSM: achieving >80% on GSM8k with small language models
Paper • 2312.09241 • Published • 39 -
Learning From Mistakes Makes LLM Better Reasoner
Paper • 2310.20689 • Published • 29 -
KwaiYiiMath: Technical Report
Paper • 2310.07488 • Published • 2 -
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Paper • 2309.05653 • Published • 10
-
TinyGSM: achieving >80% on GSM8k with small language models
Paper • 2312.09241 • Published • 39 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 63 -
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction
Paper • 2403.18795 • Published • 20 -
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models
Paper • 2404.04478 • Published • 13
-
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Paper • 2312.06585 • Published • 29 -
TinyGSM: achieving >80% on GSM8k with small language models
Paper • 2312.09241 • Published • 39 -
SciPhi/AgentSearch-V1
Viewer • Updated • 70k • 4.43k • 86 -
Data Filtering Networks
Paper • 2309.17425 • Published • 6
-
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
Paper • 2311.06720 • Published • 9 -
System 2 Attention (is something you might need too)
Paper • 2311.11829 • Published • 42 -
TinyGSM: achieving >80% on GSM8k with small language models
Paper • 2312.09241 • Published • 39 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 30
-
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Paper • 2210.14986 • Published • 5 -
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Paper • 2311.10702 • Published • 20 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 76 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 33
-
Ziya2: Data-centric Learning is All LLMs Need
Paper • 2311.03301 • Published • 20 -
Memory Augmented Language Models through Mixture of Word Experts
Paper • 2311.10768 • Published • 18 -
TinyGSM: achieving >80% on GSM8k with small language models
Paper • 2312.09241 • Published • 39 -
Time is Encoded in the Weights of Finetuned Language Models
Paper • 2312.13401 • Published • 21
-
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 76 -
One Wide Feedforward is All You Need
Paper • 2309.01826 • Published • 33 -
Self-Alignment with Instruction Backtranslation
Paper • 2308.06259 • Published • 42 -
Shepherd: A Critic for Language Model Generation
Paper • 2308.04592 • Published • 32