Collection by
Jul 10, 2025
Collections
Discover the best community collections!
Collections including paper arxiv:2301.13688
Collection by
23 days ago
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Attention Is All You Need
Paper • 1706.03762 • Published • 112 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 26 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 21 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 19
Collection by
Aug 1, 2024
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Attention Is All You Need
Paper • 1706.03762 • Published • 112 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 26 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 10 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 21
Collection by
Jul 22, 2024
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 5 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 12 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1
Collection by
1 day ago
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No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 43 -
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
Paper • 2412.14161 • Published • 51 -
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models in Resource-Constrained Environments
Paper • 2408.10945 • Published • 10 -
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 55
Collection by
Feb 18, 2025
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Nemotron-4 15B Technical Report
Paper • 2402.16819 • Published • 46 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 56 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 21 -
Reformer: The Efficient Transformer
Paper • 2001.04451 • Published • 2
Collection by
Jul 24, 2024
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Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 2 -
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Paper • 2308.13259 • Published • 2 -
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Paper • 2309.05653 • Published • 10 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 19
Collection by
Mar 21, 2024
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DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 36 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 58 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 43 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 53
Collection by
Jul 10, 2025
Collection by
1 day ago
-
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 43 -
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
Paper • 2412.14161 • Published • 51 -
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models in Resource-Constrained Environments
Paper • 2408.10945 • Published • 10 -
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 55
Collection by
23 days ago
-
Attention Is All You Need
Paper • 1706.03762 • Published • 112 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 26 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 21 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 19
Collection by
Feb 18, 2025
-
Nemotron-4 15B Technical Report
Paper • 2402.16819 • Published • 46 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 56 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 21 -
Reformer: The Efficient Transformer
Paper • 2001.04451 • Published • 2
Collection by
Aug 1, 2024
-
Attention Is All You Need
Paper • 1706.03762 • Published • 112 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 26 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 10 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 21
Collection by
Jul 24, 2024
-
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 2 -
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Paper • 2308.13259 • Published • 2 -
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Paper • 2309.05653 • Published • 10 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 19
Collection by
Jul 22, 2024
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 5 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 12 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1
Collection by
Mar 21, 2024
-
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 36 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 58 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 43 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 53