← Authors

Jonathan Berant

98 papers · 2009–2025 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (16) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (117) 🏠 Conference Loyalist (28) 🀝 Dynamic Duo (12) πŸ‘₯ Mega-Team (26) πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion (7) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (305) πŸ’Ž Century Club (98) ❓ The Questioner (5)

Conferences

EMNLP (28) ACL (25) NAACL (15) IJCNLP (7) ICLR (5) NIPS (5) EACL (4) ICML (3) COLING (2) CONLL (2) IJCAI (1) WACV (1)

Top co-authors

Jonathan Herzig (12) Mor Geva (11) Ido Dagan (10) Amir Globerson (10) Ben Bogin (10) Matt Gardner (8) Ankit Gupta (8) Alon Talmor (7) Ori Yoran (7) Omer Levy (6)

Research topics

Understanding (1)

Keywords

semantic parsing (22) question answering (14) zero-shot learning (8) reading comprehension (8) compositional generalization (7) language model (7) large language model (6) transfer learning (6) transformer model (5) program synthesis (5) natural language understanding (4) sequence-to-sequence model (4) text-to-sql parsing (4) dataset bia (3) in-context learning (3) few-shot learning (3) pre-trained language model (3) scene graph (3) semantic representation (3) knowledge base (3)

Papers

When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models ACL 2025
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors (Extended Abstract) IJCAI 2025
Theoretical guarantees on the best-of-n alignment policy ICML 2025
InfAlign: Inference-aware language model alignment ICML 2025
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning ICLR 2025
In-Context Learning with Long-Context Models: An In-Depth Exploration NAACL 2025
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors ICLR 2024
Making Retrieval-Augmented Language Models Robust to Irrelevant Context ICLR 2024
Transforming and Combining Rewards for Aligning Large Language Models ICML 2024
Large Language Models for Psycholinguistic Plausibility Pretesting EACL 2024
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? EMNLP 2024
SEMQA: Semi-Extractive Multi-Source Question Answering NAACL 2024
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces NIPS 2023
Crawling The Internal Knowledge-Base of Language Models EACL 2023
Answering Questions by Meta-Reasoning over Multiple Chains of Thought EMNLP 2023
Diverse Demonstrations Improve In-context Compositional Generalization ACL 2023
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary ACL 2023
Analyzing Transformers in Embedding Space ACL 2023
QAMPARI: A Benchmark for Open-domain Questions with Many Answers EMNLP 2023
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding EMNLP 2023
Learning to Retrieve Passages without Supervision NAACL 2022
Diagonal State Spaces are as Effective as Structured State Spaces NIPS 2022
Learning To Retrieve Prompts for In-Context Learning NAACL 2022
Weakly Supervised Text-to-SQL Parsing through Question Decomposition NAACL 2022
Inferring Implicit Relations in Complex Questions with Language Models EMNLP 2022
Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills ACL 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments EMNLP 2022
Unobserved Local Structures Make Compositional Generalization Hard EMNLP 2022
SCROLLS: Standardized CompaRison Over Long Language Sequences EMNLP 2022
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images EMNLP 2021
What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models EMNLP 2021
Achieving Model Robustness through Discrete Adversarial Training EMNLP 2021
Transformer Feed-Forward Layers Are Key-Value Memories EMNLP 2021
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing NAACL 2021
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing IJCNLP 2021
Few-Shot Question Answering by Pretraining Span Selection IJCNLP 2021
Span-based Semantic Parsing for Compositional Generalization IJCNLP 2021
Span-based Semantic Parsing for Compositional Generalization ACL 2021
Few-Shot Question Answering by Pretraining Span Selection ACL 2021
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing ACL 2021
MultiModalQA: complex question answering over text, tables and images ICLR 2021
Evaluating the Evaluation of Diversity in Natural Language Generation EACL 2021
BERTese: Learning to Speak to BERT EACL 2021
Memory-efficient Transformers via Top-k Attention EMNLP 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP 2021
Value-aware Approximate Attention EMNLP 2021
Differentiable Scene Graphs WACV 2020
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge NIPS 2020
Injecting Numerical Reasoning Skills into Language Models ACL 2020
Obtaining Faithful Interpretations from Compositional Neural Networks ACL 2020
A Simple and Effective Model for Answering Multi-span Questions EMNLP 2020
Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020
Improving Compositional Generalization in Semantic Parsing EMNLP 2020
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing ACL 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets EMNLP 2019
Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing EMNLP 2019
Global Reasoning over Database Structures for Text-to-SQL Parsing IJCNLP 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets IJCNLP 2019
On Making Reading Comprehension More Comprehensive EMNLP 2019
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge NAACL 2019
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion NAACL 2019
Evaluating Text GANs as Language Models NAACL 2019
Value-based Search in Execution Space for Mapping Instructions to Programs NAACL 2019
On the Limits of Learning to Actively Learn Semantic Representations CONLL 2019
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks NAACL 2019
Global Reasoning over Database Structures for Text-to-SQL Parsing EMNLP 2019
Neural network gradient-based learning of black-box function interfaces ICLR 2019
Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing IJCNLP 2019
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension ACL 2019
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction NIPS 2018
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing EMNLP 2018
Learning to Search in Long Documents Using Document Structure COLING 2018
Weakly Supervised Semantic Parsing with Abstract Examples ACL 2018
Proceedings of the Workshop on Machine Reading for Question Answering ACL 2018
The Web as a Knowledge-Base for Answering Complex Questions NAACL 2018
Polyglot Semantic Parsing in APIs NAACL 2018
Text Segmentation as a Supervised Learning Task NAACL 2018
Contextualized Word Representations for Reading Comprehension NAACL 2018
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing NIPS 2018
Neural Semantic Parsing over Multiple Knowledge-bases ACL 2017
Coarse-to-Fine Question Answering for Long Documents ACL 2017
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ACL 2017
Building a Semantic Parser Overnight ACL 2015
Building a Semantic Parser Overnight IJCNLP 2015
Modeling Biological Processes for Reading Comprehension EMNLP 2014
Semantic Parsing via Paraphrasing ACL 2014
Learning Biological Processes with Global Constraints EMNLP 2013
A Two Level Model for Context Sensitive Inference Rules ACL 2013
Semantic Parsing on Freebase from Question-Answer Pairs EMNLP 2013
Learning Verb Inference Rules from Linguistically-Motivated Evidence EMNLP 2012
Efficient Tree-based Approximation for Entailment Graph Learning ACL 2012
Learning Verb Inference Rules from Linguistically-Motivated Evidence CONLL 2012
Entailment-based Text Exploration with Application to the Health-care Domain ACL 2012
Crowdsourcing Inference-Rule Evaluation ACL 2012
Global Learning of Typed Entailment Rules ACL 2011
Global Learning of Focused Entailment Graphs ACL 2010
Recognising Entailment within Discourse COLING 2010
A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules EMNLP 2009