Collections

10

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 143
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 20
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 64

4

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Paper • 2309.12307 • Published Sep 21, 2023 • 87
NEFTune: Noisy Embeddings Improve Instruction Finetuning

Paper • 2310.05914 • Published Oct 9, 2023 • 14
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 56
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon

Paper • 2401.03462 • Published Jan 7 • 26

Self-Rewarding Language Models

ReFT: Reasoning with Reinforced Fine-Tuning

Tuning Language Models by Proxy

TrustLLM: Trustworthiness in Large Language Models

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

NEFTune: Noisy Embeddings Improve Instruction Finetuning

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon

TinyLlama: An Open-Source Small Language Model

MM-LLMs: Recent Advances in MultiModal Large Language Models

SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Scaling Data-Constrained Language Models

Ziya2: Data-centric Learning is All LLMs Need

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

Training Chain-of-Thought via Latent-Variable Inference

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning

AppAgent: Multimodal Agents as Smartphone Users

HuggingFaceH4/no_robots

HuggingFaceH4/ultrachat_200k

allenai/ultrafeedback_binarized_cleaned

HuggingFaceH4/ultrafeedback_binarized

DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks

MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning

LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning

LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning

Quick Starting Dialog Systems with Paraphrase Generation

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

PDFTriage: Question Answering over Long, Structured Documents

Chain-of-Verification Reduces Hallucination in Large Language Models

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models