Been Kim
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1374 citations
#cs.CL #cs.AI
- Acquisition of Chess Knowledge in AlphaZero
2021/11/17 by Thomas McGrath, Andrei Kapishnikov, Nenad Tomašev +5 · 5 voices · 4 citations
#cs.AI #stat.ML
- Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
2017/11/30 by Been Kim, Martin Wattenberg, Justin Gilmer +4 · 3 voices · 71 citations
#stat.ML
- Towards A Rigorous Science of Interpretable Machine Learning
2017/02/28 by Finale Doshi‐Velez, Been Kim, Doshi-Velez, Finale +1 · 144 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Getting aligned on representational alignment
2023/10/18 by Ilia Sucholutsky, Lukas Muttenthaler, Sucholutsky, Ilia +66 · 10 voices · 34 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · Neuroscience · #Bioinformatics and Genomic Networks #Machine Learning in Materials Science #Neural dynamics and brain function #cs.AI #cs.LG #cs.NE #q-bio.NC
- Sanity Checks for Saliency Maps
2018/10/08 by Julius Adebayo, Justin Gilmer, Adebayo, Julius +9 · 130 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Visual Attention and Saliency Detection
- Concept Bottleneck Models
2020/07/09 by Pang Wei Koh, Koh, Pang Wei, Thao Nguyen +11 · 136 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Bioinformatics #Metabolomics and Mass Spectrometry Studies #Machine Learning in Healthcare
- SmoothGrad: removing noise by adding noise
2017/06/12 by Daniel Smilkov, Nikhil Thorat, Smilkov, Daniel +7 · 113 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Anomaly Detection Techniques and Applications #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Video models are zero-shot learners and reasoners
2025/09/24 by Thaddäus Wiedemer, Yuxuan Li, Wiedemer, Thaddäus +15 · 7 voices · 56 citations
#cs.LG #cs.AI #cs.CV #cs.RO
- Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero
2023/10/25 by Lisa Schut, Nenad Tomašev, Schut, Lisa +10 · 6 voices · 4 citations
Computer Science · Economics, Econometrics and Finance · #Data Visualization and Analytics #Sports Analytics and Performance #Time Series Analysis and Forecasting #cs.AI #cs.HC #cs.LG #stat.ML
- Learning how to explain neural networks: PatternNet and PatternAttribution
2017/05/16 by Pieter Jan Kindermans, Kristof T. Schütt, Kindermans, Pieter-Jan +11 · 28 citations
Computer Science · #Neural Networks and Applications
- Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
2023/01/10 by Peter Hase, Mohit Bansal, Hase, Peter +5 · 1 voice · 18 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
- On Completeness-aware Concept-Based Explanations in Deep Neural Networks
2019/10/17 by Chih‐Kuan Yeh, Been Kim, Yeh, Chih-Kuan +9 · 12 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- To Trust Or Not To Trust A Classifier
2018/05/30 by Heinrich Jiang, Been Kim, Jiang, Heinrich +5 · 11 citations
Computer Science · Mathematics · #Topological and Geometric Data Analysis #Statistical Methods and Inference
- Model evaluation for extreme risks
2023/05/24 by Toby Shevlane, Sebastian Farquhar, Shevlane, Toby +39 · 16 citations
Computer Science · #Software Engineering Research #Software Reliability and Analysis Research #Information and Cyber Security
- QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?
2025/03/28 by Belinda Z. Li, Li, Belinda Z., Been Kim +3 · 4 voices · 13 citations
#cs.AI #cs.CL #cs.LG
- Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making
2019/02/08 by Carrie J. Cai, Cai, Carrie J., Emily Reif +19 · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence in Healthcare and Education #Biomedical Text Mining and Ontologies #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning in Healthcare
- Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
2019/07/22 by Shalmali Joshi, Oluwasanmi Koyejo, Joshi, Shalmali +7 · 11 citations
Decision Sciences · Computer Science · #Scientific Computing and Data Management #Explainable Artificial Intelligence (XAI) #Bayesian Modeling and Causal Inference
- We Can't Understand AI Using our Existing Vocabulary
2025/02/11 by John Hewitt, Robert Geirhos, Hewitt, John +3 · 3 voices · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
- Explaining Classifiers with Causal Concept Effect (CaCE)
2019/07/16 by Yash Goyal, Amir Feder, Goyal, Yash +5 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Benchmarking Attribution Methods with Relative Feature Importance
2019/07/23 by Mengjiao Yang, Yang, Mengjiao, Been Kim +1 · 6 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
- Don't trust your eyes: on the (un)reliability of feature visualizations
2023/06/07 by Robert Geirhos, Roland S. Zimmermann, R. Zimmermann +8 · 1 voice · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Explainable Artificial Intelligence (XAI) #Neural Networks and Applications
- Interpreting Black Box Predictions using Fisher Kernels
2018/10/23 by Rajiv Khanna, Been Kim, Khanna, Rajiv +5 · 4 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Because we have LLMs, we Can and Should Pursue Agentic Interpretability
2025/06/13 by Been Kim, Kim, Been, John Hewitt +7 · 1 voice · 2 citations
Computer Science · Social Sciences · #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #European and International Law Studies
- Human-Centered Concept Explanations for Neural Networks
2022/02/25 by Chih‐Kuan Yeh, Yeh, Chih-Kuan, Been Kim +3 · 3 citations
Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science #Adversarial Robustness in Machine Learning
- State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding
2023/09/21 by Devleena Das, Sonia Chernova, Das, Devleena +3 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty
2024/12/09 by Meera Hahn, Hahn, Meera, Wenjun Zeng +11 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- How new data permeates LLM knowledge and how to dilute it
2025/04/13 by Chen Sun, Sun, Chen, Renat Aksitov +12 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Library Science and Information Systems #Natural Language Processing Techniques #Semantic Web and Ontologies
- Visual prompt engineering for video models
2026/07/28 by Robert Geirhos, Yuxuan Li, Thaddäus Wiedemer +7 · 1 voice
#cs.CV #cs.AI