ucsbnlp (UC Santa Barbara NLP Group)

jiachenli-ucsb

authored a paper 2 months ago

VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search

Paper • 2503.10582 • Published Mar 13 • 23

alon-albalak

authored a paper 3 months ago

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Paper • 2502.17387 • Published Feb 24 • 6

dnathani

authored 2 papers 3 months ago

MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models

Paper • 2310.12426 • Published Oct 19, 2023 • 1

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Paper • 2308.03188 • Published Aug 6, 2023 • 2

alon-albalak

authored a paper 4 months ago

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 97

alon-albalak

authored a paper 5 months ago

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models

Paper • 2412.02980 • Published Dec 4, 2024 • 15

Xianjun

authored a paper 7 months ago

CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy

Paper • 2410.13218 • Published Oct 17, 2024 • 4

alon-albalak

authored a paper 7 months ago

Generative Reward Models

Paper • 2410.12832 • Published Oct 2, 2024 • 6

jiachenli-ucsb

authored a paper 7 months ago

T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design

Paper • 2410.05677 • Published Oct 8, 2024 • 14

saxon

authored 7 papers 10 months ago

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Paper • 2308.03188 • Published Aug 6, 2023 • 2

Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction

Paper • 2305.13903 • Published May 23, 2023

Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings

Paper • 2305.02317 • Published May 3, 2023

WikiWhy: Answering and Explaining Cause-and-Effect Questions

Paper • 2210.12152 • Published Oct 21, 2022 • 2

Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis

Paper • 2210.05035 • Published Oct 10, 2022

TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation

Paper • 2406.08656 • Published Jun 12, 2024 • 8

Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts

Paper • 2406.16851 • Published Jun 24, 2024

alon-albalak

authored 2 papers 10 months ago

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Paper • 2305.12295 • Published May 20, 2023 • 1

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources

Paper • 2406.16746 • Published Jun 24, 2024

jiachenli-ucsb

authored a paper 11 months ago

BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM

Paper • 2406.12168 • Published Jun 18, 2024 • 7

alon-albalak

authored a paper 11 months ago

DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17, 2024 • 53

UC Santa Barbara NLP Group

AI & ML interests

ucsbnlp's activity

VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models

CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy

Generative Reward Models

T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction

Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings

WikiWhy: Answering and Explaining Cause-and-Effect Questions

Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis

TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation

Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources

BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM

DataComp-LM: In search of the next generation of training sets for language models

AI & ML interests

Team members 13

ucsbnlp's activity