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Collections including paper arxiv:2407.11963

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 125
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 52
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 84

Large Language Model (LLM) and NLP related papers.

LoRA+: Efficient Low Rank Adaptation of Large Models

Paper • 2402.12354 • Published Feb 19 • 6
The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20 • 16
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 • 63

LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference

Paper • 2407.14057 • Published Jul 19 • 41
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Paper • 2407.14482 • Published Jul 19 • 24
NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?

Paper • 2407.11963 • Published Jul 16 • 43

Papers - Text - Benchmarks - Reasoning - Long Context - ATC

NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?

Paper • 2407.11963 • Published Jul 16 • 43

Papers - Text - Long Context

NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?

Paper • 2407.11963 • Published Jul 16 • 43

LLoCO: Learning Long Contexts Offline

Paper • 2404.07979 • Published Apr 11 • 19
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21 • 110
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Paper • 2402.11550 • Published Feb 18 • 14
LongAlign: A Recipe for Long Context Alignment of Large Language Models

Paper • 2401.18058 • Published Jan 31 • 21

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24 • 26
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20 • 45
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21 • 28

Papers - Benchmark - Context

RULER: What's the Real Context Size of Your Long-Context Language Models?

Paper • 2404.06654 • Published Apr 9 • 33
NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?

Paper • 2407.11963 • Published Jul 16 • 43

Papers - Reasoning

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Paper • 2402.14848 • Published Feb 19 • 18
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7 • 46
How Far Are We from Intelligent Visual Deductive Reasoning?

Paper • 2403.04732 • Published Mar 7 • 18
Learning to Reason and Memorize with Self-Notes

Paper • 2305.00833 • Published May 1, 2023 • 4

Papers - Context

In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs Miss

Paper • 2402.10790 • Published Feb 16 • 40
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Paper • 2402.11550 • Published Feb 18 • 14
A Neural Conversational Model

Paper • 1506.05869 • Published Jun 19, 2015 • 2
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15 • 21

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