Interpretability
8,292 papers
Papers per year
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14
28
84
204
363
512
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1,001
1,688
2,137
671
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'25
Papers
Region-Level Data Attribution for Text-to-Image Generative Models
ICCV 2025
Regretful Decisions under Label Noise
ICLR 2025
Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements
ICML 2025
RelationalCoder: Rethinking Complex Tables via Programmatic Relational Transformation
ACL 2025
Reliability Crisis of Reference-free Metrics for Grammatical Error Correction
EMNLP 2025
Reliable and Scalable Variable Importance Estimation via Warm-start and Early Stopping
AISTATS 2025
Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction
AAAI 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
AAAI 2025
Repetition Neurons: How Do Language Models Produce Repetitions?
NAACL 2025
Representational Similarity via Interpretable Visual Concepts
ICLR 2025
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes
ACL 2025
Representing and Clustering Errors in Offensive Language Detection
NAACL 2025
Reproducing the Argument Quality Prediction of Project Debater
ACL 2025
ReproHum #0031-01: Reproducing the Human Evaluation of Readability from “It is AI’s Turn to Ask Humans a Question”
ACL 2025
ReproHum #0729-04: Human Evaluation Reproduction Report for “MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes”
ACL 2025
ReproHum #0744-02: A Reproduction of the Human Evaluation of Meaning Preservation in “Factorising Meaning and Form for Intent-Preserving Paraphrasing”
ACL 2025
Residualized Similarity for Faithfully Explainable Authorship Verification
EMNLP 2025
Residual Stream Analysis with Multi-Layer SAEs
ICLR 2025
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
ICLR 2025
ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning
EMNLP 2025
Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach
ICLR 2025
Rethinking Backdoor Detection Evaluation for Language Models
EMNLP 2025
Rethinking Diverse Human Preference Learning through Principal Component Analysis
ACL 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
CVPR 2025
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
ICLR 2025