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Collections including paper arxiv:2311.11829

Reasoning | Planning

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation

Paper • 2310.18628 • Published Oct 28, 2023 • 6
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise

Paper • 2310.19019 • Published Oct 29, 2023 • 9
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Paper • 2311.02262 • Published Nov 3, 2023 • 9
Thread of Thought Unraveling Chaotic Contexts

Paper • 2311.08734 • Published Nov 15, 2023 • 4

Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 25
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models

Paper • 2308.16137 • Published Aug 30, 2023 • 38
Scaling Transformer to 1M tokens and beyond with RMT

Paper • 2304.11062 • Published Apr 19, 2023 • 2
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Paper • 2309.14509 • Published Sep 25, 2023 • 16

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Paper • 2310.04484 • Published Oct 6, 2023 • 4
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 4
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 72
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 14

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

Paper • 2310.13961 • Published Oct 21, 2023 • 4
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 10
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Context compression

In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 39
When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 2
Improving Length-Generalization in Transformers via Task Hinting

Paper • 2310.00726 • Published Oct 1, 2023 • 1
In-context Autoencoder for Context Compression in a Large Language Model

Paper • 2307.06945 • Published Jul 13, 2023 • 25

BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 94
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 63
In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 39
Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 39

Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 37
EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation

Paper • 2310.08185 • Published Oct 12, 2023 • 6
The Consensus Game: Language Model Generation via Equilibrium Search

Paper • 2310.09139 • Published Oct 13, 2023 • 12
In-Context Pretraining: Language Modeling Beyond Document Boundaries

Paper • 2310.10638 • Published Oct 16, 2023 • 26

NLP Paper Reading

NLP Papre Reading

Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 72
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 29
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 84
Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 25

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