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Discover the best community collections!

Collections including paper arxiv:2402.05119

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 10 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 22
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 82
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 145
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

Paper • 2402.04833 • Published Feb 7, 2024 • 6
A Closer Look at the Limitations of Instruction Tuning

Paper • 2402.05119 • Published Feb 3, 2024 • 5
STaR-GATE: Teaching Language Models to Ask Clarifying Questions

Paper • 2403.19154 • Published Mar 28, 2024
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism

Paper • 2407.10457 • Published Jul 15, 2024 • 22

A Closer Look at the Limitations of Instruction Tuning

Paper • 2402.05119 • Published Feb 3, 2024 • 5
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20, 2024 • 25

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 104
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15, 2024 • 40
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 19
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15, 2024 • 36

The Power of Scale for Parameter-Efficient Prompt Tuning

Paper • 2104.08691 • Published Apr 18, 2021 • 10
QLoRA: Efficient Finetuning of Quantized LLMs

Paper • 2305.14314 • Published May 23, 2023 • 46
A Closer Look at the Limitations of Instruction Tuning

Paper • 2402.05119 • Published Feb 3, 2024 • 5

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