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Sep 19
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Oct 19
Oct 19-
Attention Is All You Need
Paper • 1706.03762 • Published • 104 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 19 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 21 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22
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Apr 17, 2024
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Mar 22, 2024
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Mar 29
Mar 29-
Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published • 1 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 24 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published • 1 -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 2
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May 30, 2024
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Nov 11, 2024
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Jul 22, 2024
Jul 22, 2024-
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Paper • 2306.05685 • Published • 38 -
Generative Judge for Evaluating Alignment
Paper • 2310.05470 • Published • 1 -
Humans or LLMs as the Judge? A Study on Judgement Biases
Paper • 2402.10669 • Published -
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 35
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Apr 10, 2024
Apr 10, 2024-
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 35 -
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Paper • 2306.05685 • Published • 38 -
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Paper • 2303.16634 • Published • 3 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 55
Collection by
Sep 19
Sep 19Collection by
Mar 29
Mar 29-
Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published • 1 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 24 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published • 1 -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 2
Collection by
Jan 20
Jan 20Collection by
May 30, 2024
May 30, 2024Collection by
Oct 19
Oct 19-
Attention Is All You Need
Paper • 1706.03762 • Published • 104 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 19 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 21 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22
Collection by
Nov 11, 2024
Nov 11, 2024Collection by
Apr 17, 2024
Apr 17, 2024Collection by
Jul 22, 2024
Jul 22, 2024-
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Paper • 2306.05685 • Published • 38 -
Generative Judge for Evaluating Alignment
Paper • 2310.05470 • Published • 1 -
Humans or LLMs as the Judge? A Study on Judgement Biases
Paper • 2402.10669 • Published -
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 35
Collection by
Mar 22, 2024
Mar 22, 2024Collection by
Apr 10, 2024
Apr 10, 2024-
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 35 -
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Paper • 2306.05685 • Published • 38 -
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Paper • 2303.16634 • Published • 3 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 55