LLM-XAI

LLM-XAI's activity

• All
• Models
• Datasets
• Spaces
• Buckets
• Papers
• Collections
• Community
• Posts
• Articles

luulinh90s 

submitted a paper to Daily Papers about 2 months ago

Scaling Inherently Interpretable Language Models

Paper • 2608.07594 • Published Aug 6 • 22

AikyamLab 

submitted a paper to Daily Papers 3 months ago

GridVQA-X: A Framework for Evaluating Multimodal Explainability Methods

Paper • 2606.14740 • Published Jun 2 • 4

AikyamLab 

submitted 2 papers to Daily Papers 4 months ago

When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models

Paper • 2606.03712 • Published Jun 2 • 3

The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages

Paper • 2605.27901 • Published May 27 • 13

AikyamLab 

submitted a paper to Daily Papers 5 months ago

Towards Understanding the Robustness of Sparse Autoencoders

Paper • 2604.18756 • Published Apr 20 • 12

anhng8 

authored 14 papers over 1 year ago

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Paper • 1412.1897 • Published Dec 5, 2014

Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks

Paper • 1602.03616 • Published Feb 11, 2016

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks

Paper • 1605.09304 • Published May 30, 2016

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

Paper • 1703.05830 • Published Mar 16, 2017

3DTouch: Towards a Wearable 3D Input Device for 3D Applications

Paper • 1706.00176 • Published Jun 1, 2017

VectorDefense: Vectorization as a Defense to Adversarial Examples

Paper • 1804.08529 • Published Apr 23, 2018

Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects

Paper • 1811.11553 • Published Nov 28, 2018

Understanding Neural Networks via Feature Visualization: A survey

Paper • 1904.08939 • Published Apr 18, 2019 • 1

PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck

Paper • 2403.05297 • Published Mar 8, 2024 • 1

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models

Paper • 2502.09696 • Published Feb 13, 2025 • 43

HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs

Paper • 2503.02003 • Published Mar 3, 2025 • 47

Understanding Generative AI Capabilities in Everyday Image Editing Tasks

Paper • 2505.16181 • Published May 22, 2025 • 24

TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language Models

Paper • 2412.18675 • Published Dec 24, 2024 • 1

Improving Zero-Shot Object-Level Change Detection by Incorporating Visual Correspondence

Paper • 2501.05555 • Published Jan 9, 2025 • 1

AikyamLab 

authored a paper over 2 years ago

Counterfactual Explanation Policies in RL

Paper • 2307.13192 • Published Jul 25, 2023