Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
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2402.19427
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52
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Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 49 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 134 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 18 -
Priority Sampling of Large Language Models for Compilers
Paper • 2402.18734 • Published • 16 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 602 -
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 23 -
Towards Optimal Learning of Language Models
Paper • 2402.17759 • Published • 16 -
Training-Free Long-Context Scaling of Large Language Models
Paper • 2402.17463 • Published • 19 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 126 -
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Paper • 2402.15000 • Published • 22 -
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Paper • 2403.02884 • Published • 15 -
Design2Code: How Far Are We From Automating Front-End Engineering?
Paper • 2403.03163 • Published • 93 -
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Paper • 2403.02545 • Published • 15 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 182 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 62 -
SaulLM-7B: A pioneering Large Language Model for Law
Paper • 2403.03883 • Published • 75 -
Backtracing: Retrieving the Cause of the Query
Paper • 2403.03956 • Published • 10 -
Learning to Decode Collaboratively with Multiple Language Models
Paper • 2403.03870 • Published • 18 -
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
Paper • 2403.04132 • Published • 38 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 62 -
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
Paper • 2403.04746 • Published • 22 -
Common 7B Language Models Already Possess Strong Math Capabilities
Paper • 2403.04706 • Published • 16 -
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 18 -
Stealing Part of a Production Language Model
Paper • 2403.06634 • Published • 90 -
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU
Paper • 2403.06504 • Published • 53 -
Algorithmic progress in language models
Paper • 2403.05812 • Published • 18 -
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
Paper • 2403.09347 • Published • 20 -
Language models scale reliably with over-training and on downstream tasks
Paper • 2403.08540 • Published • 14 -
On the Societal Impact of Open Foundation Models
Paper • 2403.07918 • Published • 16 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 24 -
Towards a World-English Language Model for On-Device Virtual Assistants
Paper • 2403.18783 • Published • 4 -
The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 78 -
LLM Agent Operating System
Paper • 2403.16971 • Published • 65 -
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
Paper • 2403.15447 • Published • 16 -
Can large language models explore in-context?
Paper • 2403.15371 • Published • 32 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 72 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 104 -
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
Paper • 2403.20041 • Published • 34 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 47 -
Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 44 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 35 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 89 -
Training LLMs over Neurally Compressed Text
Paper • 2404.03626 • Published • 21 -
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
Paper • 2404.02893 • Published • 20 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 104 -
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
Paper • 2404.03411 • Published • 8 -
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Paper • 2404.02575 • Published • 47 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 60 -
Stream of Search (SoS): Learning to Search in Language
Paper • 2404.03683 • Published • 23 -
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues
Paper • 2404.03820 • Published • 24 -
Social Skill Training with Large Language Models
Paper • 2404.04204 • Published • 15 -
Pre-training Small Base LMs with Fewer Tokens
Paper • 2404.08634 • Published • 34 -
Learn Your Reference Model for Real Good Alignment
Paper • 2404.09656 • Published • 82 -
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
Paper • 2404.08801 • Published • 63 -
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
Paper • 2405.01535 • Published • 116 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 118 -
WildChat: 1M ChatGPT Interaction Logs in the Wild
Paper • 2405.01470 • Published • 59 -
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment
Paper • 2405.01481 • Published • 25 -
FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 24 -
nabla^2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
Paper • 2406.14347 • Published • 98 -
fka/awesome-chatgpt-prompts
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