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Collections including paper arxiv:2310.08491

Curated resources that support the use of LLMs to serve as automatic evaluators of other LLM outputs.

JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Paper • 2310.17631 • Published Oct 26, 2023 • 35
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Generative Judge for Evaluating Alignment

Paper • 2310.05470 • Published Oct 9, 2023 • 1
Calibrating LLM-Based Evaluator

Paper • 2309.13308 • Published Sep 23, 2023 • 12

theory provoking

In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 43
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning

Paper • 2310.12921 • Published Oct 19, 2023 • 19
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55

Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1
Specific versus General Principles for Constitutional AI

Paper • 2310.13798 • Published Oct 20, 2023 • 3
Contrastive Prefence Learning: Learning from Human Feedback without RL

Paper • 2310.13639 • Published Oct 20, 2023 • 25
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 51

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Prompt Cache: Modular Attention Reuse for Low-Latency Inference

Paper • 2311.04934 • Published Nov 7, 2023 • 34
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 51
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges

Paper • 2406.12624 • Published Jun 18, 2024 • 37

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 5
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
Calibrating LLM-Based Evaluator

Paper • 2309.13308 • Published Sep 23, 2023 • 12
Fusion-Eval: Integrating Evaluators with LLMs

Paper • 2311.09204 • Published Nov 15, 2023 • 6

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion

Paper • 2310.08579 • Published Oct 12, 2023 • 17
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning

Paper • 2310.12921 • Published Oct 19, 2023 • 19
De-Diffusion Makes Text a Strong Cross-Modal Interface

Paper • 2311.00618 • Published Nov 1, 2023 • 23

Curated resources that support the use of LLMs to serve as automatic evaluators of other LLM outputs.

JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Paper • 2310.17631 • Published Oct 26, 2023 • 35
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Generative Judge for Evaluating Alignment

Paper • 2310.05470 • Published Oct 9, 2023 • 1
Calibrating LLM-Based Evaluator

Paper • 2309.13308 • Published Sep 23, 2023 • 12

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55

theory provoking

In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 43
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning

Paper • 2310.12921 • Published Oct 19, 2023 • 19
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 5
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1
Specific versus General Principles for Constitutional AI

Paper • 2310.13798 • Published Oct 20, 2023 • 3
Contrastive Prefence Learning: Learning from Human Feedback without RL

Paper • 2310.13639 • Published Oct 20, 2023 • 25
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 51

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
Calibrating LLM-Based Evaluator

Paper • 2309.13308 • Published Sep 23, 2023 • 12
Fusion-Eval: Integrating Evaluators with LLMs

Paper • 2311.09204 • Published Nov 15, 2023 • 6

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Prompt Cache: Modular Attention Reuse for Low-Latency Inference

Paper • 2311.04934 • Published Nov 7, 2023 • 34
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 51
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges

Paper • 2406.12624 • Published Jun 18, 2024 • 37

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion

Paper • 2310.08579 • Published Oct 12, 2023 • 17
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning

Paper • 2310.12921 • Published Oct 19, 2023 • 19
De-Diffusion Makes Text a Strong Cross-Modal Interface

Paper • 2311.00618 • Published Nov 1, 2023 • 23

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