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Collections including paper arxiv:2404.05961

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9, 2024 • 66
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs

Paper • 2404.05719 • Published Apr 8, 2024 • 83
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models

Paper • 2404.03543 • Published Apr 4, 2024 • 18
Are large language models superhuman chemists?

Paper • 2404.01475 • Published Apr 1, 2024 • 19

Is Cosine-Similarity of Embeddings Really About Similarity?

Paper • 2403.05440 • Published Mar 8, 2024 • 3
GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning

Paper • 2402.16829 • Published Feb 26, 2024
Make Your LLM Fully Utilize the Context

Paper • 2404.16811 • Published Apr 25, 2024 • 55
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30, 2024 • 114

Large language models for text generation

Text Diffusion with Reinforced Conditioning

Paper • 2402.14843 • Published Feb 19, 2024
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9, 2024 • 66
TextGrad: Automatic "Differentiation" via Text

Paper • 2406.07496 • Published Jun 11, 2024 • 32

Multilingual Instruction Tuning With Just a Pinch of Multilinguality

Paper • 2401.01854 • Published Jan 3, 2024 • 11
LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2, 2024 • 56
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Paper • 2401.01325 • Published Jan 2, 2024 • 28
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 82

Research on LLM

When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 4
In-Context Pretraining: Language Modeling Beyond Document Boundaries

Paper • 2310.10638 • Published Oct 16, 2023 • 30
Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model

Paper • 2310.09520 • Published Oct 14, 2023 • 12
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22, 2024 • 34
Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2, 2024 • 47
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2, 2024 • 38
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4, 2024 • 62

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6, 2024 • 189
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 73
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Paper • 2403.13372 • Published Mar 20, 2024 • 114
InternLM2 Technical Report

Paper • 2403.17297 • Published Mar 26, 2024 • 34

Large Language Model (LLM) and NLP related papers.

LoRA+: Efficient Low Rank Adaptation of Large Models

Paper • 2402.12354 • Published Feb 19, 2024 • 6
The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20, 2024 • 22
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Paper • 2402.13249 • Published Feb 20, 2024 • 13
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 70

LLM-External_information

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 82
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9, 2024 • 66

C-Pack: Packaged Resources To Advance General Chinese Embedding

Paper • 2309.07597 • Published Sep 14, 2023 • 1
Gecko: Versatile Text Embeddings Distilled from Large Language Models

Paper • 2403.20327 • Published Mar 29, 2024 • 49
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9, 2024 • 66
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published Dec 18, 2024 • 153

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9, 2024 • 66
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs

Paper • 2404.05719 • Published Apr 8, 2024 • 83
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models

Paper • 2404.03543 • Published Apr 4, 2024 • 18
Are large language models superhuman chemists?

Paper • 2404.01475 • Published Apr 1, 2024 • 19

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22, 2024 • 34
Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2, 2024 • 47
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2, 2024 • 38
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4, 2024 • 62

Is Cosine-Similarity of Embeddings Really About Similarity?

Paper • 2403.05440 • Published Mar 8, 2024 • 3
GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning

Paper • 2402.16829 • Published Feb 26, 2024
Make Your LLM Fully Utilize the Context

Paper • 2404.16811 • Published Apr 25, 2024 • 55
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30, 2024 • 114

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6, 2024 • 189
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 73
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Paper • 2403.13372 • Published Mar 20, 2024 • 114
InternLM2 Technical Report

Paper • 2403.17297 • Published Mar 26, 2024 • 34

Large language models for text generation

Text Diffusion with Reinforced Conditioning

Paper • 2402.14843 • Published Feb 19, 2024
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9, 2024 • 66
TextGrad: Automatic "Differentiation" via Text

Paper • 2406.07496 • Published Jun 11, 2024 • 32

Large Language Model (LLM) and NLP related papers.

LoRA+: Efficient Low Rank Adaptation of Large Models

Paper • 2402.12354 • Published Feb 19, 2024 • 6
The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20, 2024 • 22
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Paper • 2402.13249 • Published Feb 20, 2024 • 13
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 70

Multilingual Instruction Tuning With Just a Pinch of Multilinguality

Paper • 2401.01854 • Published Jan 3, 2024 • 11
LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2, 2024 • 56
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Paper • 2401.01325 • Published Jan 2, 2024 • 28
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 82

LLM-External_information

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 82
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9, 2024 • 66

Research on LLM

When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 4
In-Context Pretraining: Language Modeling Beyond Document Boundaries

Paper • 2310.10638 • Published Oct 16, 2023 • 30
Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model

Paper • 2310.09520 • Published Oct 14, 2023 • 12
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

C-Pack: Packaged Resources To Advance General Chinese Embedding

Paper • 2309.07597 • Published Sep 14, 2023 • 1
Gecko: Versatile Text Embeddings Distilled from Large Language Models

Paper • 2403.20327 • Published Mar 29, 2024 • 49
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9, 2024 • 66
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published Dec 18, 2024 • 153

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