Christopher Snyder
csnyder
AI & ML interests
pathology, math
Recent Activity
upvoted
a
paper
2 months ago
The Entropy Mechanism of Reinforcement Learning for Reasoning Language
Models
upvoted
a
paper
3 months ago
RM-R1: Reward Modeling as Reasoning
upvoted
a
paper
5 months ago
Presumed Cultural Identity: How Names Shape LLM Responses
Organizations
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Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 55 -
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
Paper • 2310.08579 • Published • 17 -
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Paper • 2310.12921 • Published • 20 -
De-Diffusion Makes Text a Strong Cross-Modal Interface
Paper • 2311.00618 • Published • 23
-
Flamingo: a Visual Language Model for Few-Shot Learning
Paper • 2204.14198 • Published • 15 -
HuggingFaceM4/idefics-9b
Text Generation • 9B • Updated • 2.19k • 46 -
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper • 2312.04474 • Published • 33 -
deepseek-ai/deepseek-coder-6.7b-instruct
Text Generation • 7B • Updated • 71.5k • 442
-
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Paper • 2310.12921 • Published • 20 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 55
-
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 78 -
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 24 -
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 51 -
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
Paper • 2402.10963 • Published • 12
-
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 55 -
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
Paper • 2310.08579 • Published • 17 -
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Paper • 2310.12921 • Published • 20 -
De-Diffusion Makes Text a Strong Cross-Modal Interface
Paper • 2311.00618 • Published • 23
-
Flamingo: a Visual Language Model for Few-Shot Learning
Paper • 2204.14198 • Published • 15 -
HuggingFaceM4/idefics-9b
Text Generation • 9B • Updated • 2.19k • 46 -
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper • 2312.04474 • Published • 33 -
deepseek-ai/deepseek-coder-6.7b-instruct
Text Generation • 7B • Updated • 71.5k • 442
-
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Paper • 2310.12921 • Published • 20 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 55
-
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 78 -
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 24 -
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 51 -
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
Paper • 2402.10963 • Published • 12