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Collections including paper arxiv:2403.10131

AI Paper of the Day

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

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 20
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 76
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 22

Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots

Paper • 2405.07990 • Published 19 days ago • 15
Large Language Models as Planning Domain Generators

Paper • 2405.06650 • Published Apr 2 • 8
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation

Paper • 2404.12753 • Published Apr 19 • 38
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Paper • 2404.07972 • Published Apr 11 • 41

Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge

Paper • 2403.01432 • Published Mar 3 • 2
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 64
BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models

Paper • 2403.18365 • Published Mar 27 • 2
When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively

Paper • 2404.19705 • Published Apr 30

Smarter LLMs Research

RARR: Researching and Revising What Language Models Say, Using Language Models

Paper • 2210.08726 • Published Oct 17, 2022 • 1
Hypothesis Search: Inductive Reasoning with Language Models

Paper • 2309.05660 • Published Sep 11, 2023 • 1
In-context Learning and Induction Heads

Paper • 2209.11895 • Published Sep 24, 2022 • 2
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 12

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs

Paper • 2404.15676 • Published Apr 24
How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior

Paper • 2404.10198 • Published Apr 16 • 7
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 64
FaaF: Facts as a Function for the evaluation of RAG systems

Paper • 2403.03888 • Published Mar 6

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 11
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16 • 36
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Paper • 2104.08663 • Published Apr 17, 2021 • 3
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 1

Retrieval Augmented Generation

RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 64

Papers of intereset

Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 43
Instruction Tuning with Human Curriculum

Paper • 2310.09518 • Published Oct 14, 2023 • 3
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 64
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20 • 25

Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 99
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 31
ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 48
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Paper • 2403.18814 • Published Mar 27 • 40

Uni-SMART: Universal Science Multimodal Analysis and Research Transformer

Paper • 2403.10301 • Published Mar 15 • 50
Recurrent Drafter for Fast Speculative Decoding in Large Language Models

Paper • 2403.09919 • Published Mar 14 • 19
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 64
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

Paper • 2403.09704 • Published Mar 8 • 29

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