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Collections including paper arxiv:2403.15447

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19, 2024 • 25
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 59
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

Paper • 2403.09704 • Published Mar 8, 2024 • 32
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 72

Papers - Ethics

Exploring Large Language Models' Cognitive Moral Development through Defining Issues Test

Paper • 2309.13356 • Published Sep 23, 2023 • 37
Unveiling Safety Vulnerabilities of Large Language Models

Paper • 2311.04124 • Published Nov 7, 2023 • 10
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 69
Evaluating Frontier Models for Dangerous Capabilities

Paper • 2403.13793 • Published Mar 20, 2024 • 7

FlashDecoding++: Faster Large Language Model Inference on GPUs

Paper • 2311.01282 • Published Nov 2, 2023 • 37
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 31
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Paper • 2311.06243 • Published Nov 10, 2023 • 21
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores

Paper • 2311.05908 • Published Nov 10, 2023 • 15

Papers - Toxicity

Recourse for reclamation: Chatting with generative language models

Paper • 2403.14467 • Published Mar 21, 2024 • 8
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression

Paper • 2403.15447 • Published Mar 18, 2024 • 16
Introducing v0.5 of the AI Safety Benchmark from MLCommons

Paper • 2404.12241 • Published Apr 18, 2024 • 13

Papers - Quants

QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models

Paper • 2310.16795 • Published Oct 25, 2023 • 27
Pareto-Optimal Quantized ResNet Is Mostly 4-bit

Paper • 2105.03536 • Published May 7, 2021 • 3
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression

Paper • 2403.15447 • Published Mar 18, 2024 • 16

interesting stuff

Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 39
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

Paper • 2309.09400 • Published Sep 17, 2023 • 85
Language Modeling Is Compression

Paper • 2309.10668 • Published Sep 19, 2023 • 83

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19, 2024 • 25
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 59
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

Paper • 2403.09704 • Published Mar 8, 2024 • 32
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 72

Papers - Toxicity

Recourse for reclamation: Chatting with generative language models

Paper • 2403.14467 • Published Mar 21, 2024 • 8
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression

Paper • 2403.15447 • Published Mar 18, 2024 • 16
Introducing v0.5 of the AI Safety Benchmark from MLCommons

Paper • 2404.12241 • Published Apr 18, 2024 • 13

Papers - Ethics

Exploring Large Language Models' Cognitive Moral Development through Defining Issues Test

Paper • 2309.13356 • Published Sep 23, 2023 • 37
Unveiling Safety Vulnerabilities of Large Language Models

Paper • 2311.04124 • Published Nov 7, 2023 • 10
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 69
Evaluating Frontier Models for Dangerous Capabilities

Paper • 2403.13793 • Published Mar 20, 2024 • 7

Papers - Quants

QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models

Paper • 2310.16795 • Published Oct 25, 2023 • 27
Pareto-Optimal Quantized ResNet Is Mostly 4-bit

Paper • 2105.03536 • Published May 7, 2021 • 3
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression

Paper • 2403.15447 • Published Mar 18, 2024 • 16

FlashDecoding++: Faster Large Language Model Inference on GPUs

Paper • 2311.01282 • Published Nov 2, 2023 • 37
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 31
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Paper • 2311.06243 • Published Nov 10, 2023 • 21
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores

Paper • 2311.05908 • Published Nov 10, 2023 • 15

interesting stuff

Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 39
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

Paper • 2309.09400 • Published Sep 17, 2023 • 85
Language Modeling Is Compression

Paper • 2309.10668 • Published Sep 19, 2023 • 83

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