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Collections including paper arxiv:2402.17463

TRAMS: Training-free Memory Selection for Long-range Language Modeling

Paper • 2310.15494 • Published Oct 24, 2023 • 1
A Long Way to Go: Investigating Length Correlations in RLHF

Paper • 2310.03716 • Published Oct 5, 2023 • 9
YaRN: Efficient Context Window Extension of Large Language Models

Paper • 2309.00071 • Published Aug 31, 2023 • 59
Giraffe: Adventures in Expanding Context Lengths in LLMs

Paper • 2308.10882 • Published Aug 21, 2023 • 1

Training-Free Long-Context Scaling of Large Language Models

Paper • 2402.17463 • Published Feb 27 • 19

+Context Scaling

Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27 • 17
Training-Free Long-Context Scaling of Large Language Models

Paper • 2402.17463 • Published Feb 27 • 19
Resonance RoPE: Improving Context Length Generalization of Large Language Models

Paper • 2403.00071 • Published Feb 29 • 19
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences

Paper • 2403.09347 • Published Mar 14 • 20

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 571
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method

Paper • 2402.17193 • Published Feb 27 • 23
Training-Free Long-Context Scaling of Large Language Models

Paper • 2402.17463 • Published Feb 27 • 19
The Power of Scale for Parameter-Efficient Prompt Tuning

Paper • 2104.08691 • Published Apr 18, 2021 • 7

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 • 46
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 • 18

Large Language Model (LLM) and NLP related papers.

LoRA+: Efficient Low Rank Adaptation of Large Models

Paper • 2402.12354 • Published Feb 19 • 5
The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20 • 13
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Paper • 2402.13249 • Published Feb 20 • 10
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 62

LLM Training Datasets

A collection of datasets for training LLMs.

HuggingFaceTB/cosmopedia

Viewer • Updated Apr 16 • 2.26k • 498
fka/awesome-chatgpt-prompts

Viewer • Updated Mar 7, 2023 • 7.34k • 4.99k
HuggingFaceTB/cosmopedia-100k

Viewer • Updated Feb 19 • 987 • 35
CohereForAI/aya_dataset

Viewer • Updated Mar 15 • 2.7k • 254

papaer selecting

about 2 hours ago

Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Paper • 2402.14083 • Published Feb 21 • 42
Linear Transformers are Versatile In-Context Learners

Paper • 2402.14180 • Published Feb 21 • 5
Training-Free Long-Context Scaling of Large Language Models

Paper • 2402.17463 • Published Feb 27 • 19
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 571

InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory

Paper • 2402.04617 • Published Feb 7 • 4
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences

Paper • 2403.09347 • Published Mar 14 • 20
Resonance RoPE: Improving Context Length Generalization of Large Language Models

Paper • 2403.00071 • Published Feb 29 • 19
Training-Free Long-Context Scaling of Large Language Models

Paper • 2402.17463 • Published Feb 27 • 19

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
ReFT: Reasoning with Reinforced Fine-Tuning

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

Paper • 2401.08565 • Published Jan 16 • 19
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 62

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