← Authors

Mor Geva

47 papers · 2018–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (4) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (65) 🏠 Conference Loyalist (20) πŸ”¬ Deep Specialist (24) πŸ† Keyword Champion (3) 🀝 Dynamic Duo (11) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (196) πŸ’Ž Century Club (46) ❓ The Questioner (8) ⚑ Prolific Year (10)

Conferences

EMNLP (20) ACL (14) EACL (4) COLING (2) ICLR (2) ICML (2) NAACL (2) IJCNLP (1)

Top co-authors

Jonathan Berant (11) Yoav Goldberg (5) Amir Globerson (5) Daniela Gottesman (5) Roee Aharoni (4) Sohee Yang (4) Avi Caciularu (4) Nora Kassner (3) Sebastian Riedel (3) Ankit Gupta (3)

Keywords

language model (9) transformer model (6) representation learning (6) large language model (6) question answering (6) model interpretability (5) transfer learning (5) multi-hop reasoning (3) hidden representation (3) knowledge retrieval (3) dataset bia (3) latent reasoning (3) commonsense reasoning (2) transformer language model (2) attention mechanism (2) model generalization (2) model alignment (2) mechanistic interpretability (2) in-context learning (2) natural language understanding (2)

Papers

Detecting (Un)answerability in Large Language Models with Linear Directions EACL 2026
Towards Interpreting Visual Information Processing in Vision-Language Models ICLR 2025
Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas ICML 2025
How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? EMNLP 2025
Intrinsic Test of Unlearning Using Parametric Knowledge Traces EMNLP 2025
Precise In-Parameter Concept Erasure in Large Language Models EMNLP 2025
Language Models Encode Numbers Using Digit Representations in Base 10 NAACL 2025
Enhancing Automated Interpretability with Output-Centric Feature Descriptions ACL 2025
Inferring Functionality of Attention Heads from their Parameters ACL 2025
Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models ACL 2025
Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? ACL 2025
Preventing Rogue Agents Improves Multi-Agent Collaboration ACL 2025
Eliciting Textual Descriptions from Representations of Continuous Prompts ACL 2025
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers ACL 2024
A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains ACL 2024
The Hidden Space of Transformer Language Adapters ACL 2024
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations ACL 2024
Do Large Language Models Latently Perform Multi-Hop Reasoning? ACL 2024
Jump to Conclusions: Short-Cutting Transformers with Linear Transformations COLING 2024
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space EMNLP 2024
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP EMNLP 2024
Estimating Knowledge in Large Language Models Without Generating a Single Token EMNLP 2024
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries EMNLP 2024
The Hidden Language of Diffusion Models ICLR 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models ICML 2024
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks EMNLP 2023
Dissecting Recall of Factual Associations in Auto-Regressive Language Models EMNLP 2023
LM vs LM: Detecting Factual Errors via Cross Examination EMNLP 2023
In-Context Learning Creates Task Vectors EMNLP 2023
A Comprehensive Evaluation of Tool-Assisted Generation Strategies EMNLP 2023
Analyzing Transformers in Embedding Space ACL 2023
Crawling The Internal Knowledge-Base of Language Models EACL 2023
Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions EACL 2023
Understanding Transformer Memorization Recall Through Idioms EACL 2023
Complex Reasoning in Natural Language ACL 2023
Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space EMNLP 2022
SCROLLS: Standardized CompaRison Over Long Language Sequences EMNLP 2022
LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models EMNLP 2022
Inferring Implicit Relations in Complex Questions with Language Models EMNLP 2022
Transformer Feed-Forward Layers Are Key-Value Memories EMNLP 2021
What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models EMNLP 2021
Injecting Numerical Reasoning Skills into Language Models ACL 2020
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion NAACL 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets IJCNLP 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets EMNLP 2019
Learning to Search in Long Documents Using Document Structure COLING 2018