DEV Community

Data Science

Data Science allows us to extract meaning from and interpret data.

Posts

đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA

Comments
4 min read
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer

Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer

Comments
4 min read
LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

Comments
4 min read
DarkDNS: Revisiting the Value of Rapid Zone Update

DarkDNS: Revisiting the Value of Rapid Zone Update

Comments
4 min read
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition

Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition

Comments
4 min read
Extracting Prompts by Inverting LLM Outputs

Extracting Prompts by Inverting LLM Outputs

Comments
4 min read
Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

Comments
5 min read
ColorFoil: Investigating Color Blindness in Large Vision and Language Models

ColorFoil: Investigating Color Blindness in Large Vision and Language Models

Comments
4 min read
The CAP Principle for LLM Serving

The CAP Principle for LLM Serving

Comments
4 min read
Self-playing Adversarial Language Game Enhances LLM Reasoning

Self-playing Adversarial Language Game Enhances LLM Reasoning

Comments
4 min read
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Comments
4 min read
Training Language Models to Generate Text with Citations via Fine-grained Rewards

Training Language Models to Generate Text with Citations via Fine-grained Rewards

Comments
3 min read
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

Comments
3 min read
Why are Sensitive Functions Hard for Transformers?

Why are Sensitive Functions Hard for Transformers?

Comments
4 min read
InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars

InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars

Comments
4 min read
A Declarative System for Optimizing AI Workloads

A Declarative System for Optimizing AI Workloads

Comments
4 min read
Representation noising effectively prevents harmful fine-tuning on LLMs

Representation noising effectively prevents harmful fine-tuning on LLMs

Comments
5 min read
Transformers Can Do Arithmetic with the Right Embeddings

Transformers Can Do Arithmetic with the Right Embeddings

Comments
4 min read
Demo Paper: A Game Agents Battle Driven by Free-Form Text Commands Using Code-Generation LLM

Demo Paper: A Game Agents Battle Driven by Free-Form Text Commands Using Code-Generation LLM

Comments
4 min read
Attention as an RNN

Attention as an RNN

Comments
4 min read
Thermodynamic Natural Gradient Descent

Thermodynamic Natural Gradient Descent

Comments
5 min read
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Comments
4 min read
Pareto Optimal Learning for Estimating Large Language Model Errors

Pareto Optimal Learning for Estimating Large Language Model Errors

Comments
4 min read
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation

ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation

Comments
4 min read
As an AI Language Model, Yes I Would Recommend Calling the Police'': Norm Inconsistency in LLM Decision-Making

As an AI Language Model, Yes I Would Recommend Calling the Police'': Norm Inconsistency in LLM Decision-Making

Comments
4 min read
loading...