PPaperPicks

Yonatan Belinkov

33 papers at tracked venues · 23 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Dana Arad
×7
Aaron Mueller
×6
Hadas Orgad
×6
Boaz Carmeli
×5
David Bau
×5
Martin Tutek
×4
Michael Toker
×4
Tal Haklay
×4
Tomer Ashuach
×3
Adir Rahamim
×3
Yaniv Nikankin
×3
Anja Reusch
×3

Papers

  1. CRISP: Persistent Concept Unlearning via Sparse Autoencoders
    ACL 2026 ·
    Tomer Ashuach
    ,
    Dana Arad
    ,
    Aaron Mueller
    ,
    Martin Tutek
    , Yonatan Belinkov
  2. Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models
    ACL 2026 ·
    Guy Kaplan
    ,
    Michael Toker
    ,
    Yuval Reif
    , Yonatan Belinkov,
    Roy Schwartz
  3. Masked by Consensus: Disentangling Privileged Knowledge in LLM Correctness
    ACL 2026 ·
    Tomer Ashuach
    ,
    Shai Gretz
    ,
    Yoav Katz
    , Yonatan Belinkov,
    Liat Ein-Dor
  4. Mechanisms of Prompt-Induced Hallucination in Vision-Language Models
    ACL 2026 ·
    William Rudman
    ,
    Michal Golovanevsky
    ,
    Dana Arad
    , Yonatan Belinkov,
    Carsten Eickhoff
    ,
    Ritambhara Singh
    ,
    Kyle Mahowald
  5. Will it Merge? On The Causes of Model Mergeability
    ACL 2026 ·
    Adir Rahamim
    ,
    Asaf Yehudai
    ,
    Boaz Carmeli
    ,
    Leshem Choshen
    ,
    Yosi Mass
    , Yonatan Belinkov
  6. Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
    ICLR 2025 ·
    Sarah Wiegreffe
    ,
    Oyvind Tafjord
    , Yonatan Belinkov,
    Hannaneh Hajishirzi
    ,
    Ashish Sabharwal
  7. Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics
    ICLR 2025 ·
    Yaniv Nikankin
    ,
    Anja Reusch
    ,
    Aaron Mueller
    , Yonatan Belinkov
  8. Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
    EMNLP 2025 ·
    Zeping Yu
    , Yonatan Belinkov,
    Sophia Ananiadou
  9. CtD: Composition through Decomposition in Emergent Communication
    ICLR 2025 ·
    Boaz Carmeli
    ,
    Ron Meir
    , Yonatan Belinkov
  10. LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
    ICLR 2025 ·
    Hadas Orgad
    ,
    Michael Toker
    ,
    Zorik Gekhman
    ,
    Roi Reichart
    ,
    Idan Szpektor
    ,
    Hadas Kotek
    , Yonatan Belinkov
  11. MIB: A Mechanistic Interpretability Benchmark
    ICML 2025 ·
    Aaron Mueller
    ,
    Atticus Geiger
    ,
    Sarah Wiegreffe
    ,
    Dana Arad
    ,
    Iván Arcuschin
    ,
    Adam Belfki
    ,
    Yik Siu Chan
    ,
    Jaden Fried Fiotto-Kaufman
    ,
    Tal Haklay
    ,
    Michael Hanna
    ,
    Jing Huang
    ,
    Rohan Gupta
    ,
    Yaniv Nikankin
    ,
    Hadas Orgad
    ,
    Nikhil Prakash
    ,
    Anja Reusch
    ,
    Aruna Sankaranarayanan
    ,
    Shun Shao
    ,
    Alessandro Stolfo
    ,
    Martin Tutek
    ,
    Amir Zur
    ,
    David Bau
    , Yonatan Belinkov
  12. Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps
    EMNLP 2025 ·
    Martin Tutek
    ,
    Fateme Hashemi Chaleshtori
    ,
    Ana Marasovic
    , Yonatan Belinkov
  13. Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models
    NAACL 2025 ·
    Michael Toker
    ,
    Ido Galil
    ,
    Hadas Orgad
    ,
    Rinon Gal
    ,
    Yoad Tewel
    ,
    Gal Chechik
    , Yonatan Belinkov
  14. Position-aware Automatic Circuit Discovery
    ACL 2025 ·
    Tal Haklay
    ,
    Hadas Orgad
    ,
    David Bau
    ,
    Aaron Mueller
    , Yonatan Belinkov
  15. REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space
    ACL 2025 ·
    Tomer Ashuach
    ,
    Martin Tutek
    , Yonatan Belinkov
  16. Reverse-Engineering the Retrieval Process in GenIR Models
    SIGIR 2025 ·
    Anja Reusch
    , Yonatan Belinkov
  17. SAEs Are Good for Steering - If You Select the Right Features
    EMNLP 2025 ·
    Dana Arad
    ,
    Aaron Mueller
    , Yonatan Belinkov
  18. Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs
    NeurIPS 2025 ·
    Yaniv Nikankin
    ,
    Dana Arad
    ,
    Yossi Gandelsman
    , Yonatan Belinkov
  19. Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
    ICLR 2025 ·
    Samuel Marks
    ,
    Can Rager
    ,
    Eric J. Michaud
    , Yonatan Belinkov,
    David Bau
    ,
    Aaron Mueller
  20. Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer
    EMNLP 2025 ·
    Adi Simhi
    ,
    Itay Itzhak
    ,
    Fazl Barez
    ,
    Gabriel Stanovsky
    , Yonatan Belinkov
  21. Unsupervised Translation of Emergent Communication
    AAAI 2025 ·
    Ido Levy
    ,
    Orr Paradise
    ,
    Boaz Carmeli
    ,
    Ron Meir
    ,
    Shafi Goldwasser
    , Yonatan Belinkov
  22. Accelerating the Global Aggregation of Local Explanations
    AAAI 2024 ·
    Alon Mor
    , Yonatan Belinkov,
    Benny Kimelfeld
  23. Backward Lens: Projecting Language Model Gradients into the Vocabulary Space
    EMNLP 2024 ·
    Shahar Katz
    , Yonatan Belinkov,
    Mor Geva
    ,
    Lior Wolf
  24. Concept-Best-Matching: Evaluating Compositionality In Emergent Communication
    ACL 2024 ·
    Boaz Carmeli
    , Yonatan Belinkov,
    Ron Meir
  25. Confidence Regulation Neurons in Language Models
    NeurIPS 2024 ·
    Alessandro Stolfo
    ,
    Ben Wu
    ,
    Wes Gurnee
    , Yonatan Belinkov,
    Xingyi Song
    ,
    Mrinmaya Sachan
    ,
    Neel Nanda
  26. ContraSim - Analyzing Neural Representations Based on Contrastive Learning
    NAACL 2024 ·
    Adir Rahamim
    , Yonatan Belinkov
  27. Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines
    ACL 2024 ·
    Michael Toker
    ,
    Hadas Orgad
    ,
    Mor Ventura
    ,
    Dana Arad
    , Yonatan Belinkov
  28. Fast Forwarding Low-Rank Training
    EMNLP 2024 ·
    Adir Rahamim
    ,
    Naomi Saphra
    ,
    Sara Kangaslahti
    , Yonatan Belinkov
  29. Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
    ICLR 2024 ·
    Nikhil Prakash
    ,
    Tamar Rott Shaham
    ,
    Tal Haklay
    , Yonatan Belinkov,
    David Bau
  30. Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information
    NAACL 2024 ·
    Shadi Iskander
    ,
    Kira Radinsky
    , Yonatan Belinkov
  31. Linearity of Relation Decoding in Transformer Language Models
    ICLR 2024 ·
    Evan Hernandez
    ,
    Arnab Sen Sharma
    ,
    Tal Haklay
    ,
    Kevin Meng
    ,
    Martin Wattenberg
    ,
    Jacob Andreas
    , Yonatan Belinkov,
    David Bau
  32. ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
    NAACL 2024 ·
    Dana Arad
    ,
    Hadas Orgad
    , Yonatan Belinkov
  33. Semantics and Spatiality of Emergent Communication
    NeurIPS 2024 ·
    Rotem Ben Zion
    ,
    Boaz Carmeli
    ,
    Orr Paradise
    , Yonatan Belinkov