Jonathan Berant
99 papers · 2009–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (12) π Academic Marathon (16) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (10)
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Cross-Pollinator
(10)
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Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(117)
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Conference Loyalist
(28)
π€
Dynamic Duo
(12)
π₯
Mega-Team
(26)
π¬
Deep Specialist
(15)
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Keyword Champion
(7)
β‘
Prolific Year
(8)
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Conference Pioneer
π₯
Unstoppable
(9)
ποΈ
Keyword Collector
(305)
π
Century Club
(98)
β
The Questioner
(5)
Conferences
EMNLP (28)
ACL (26)
NAACL (15)
IJCNLP (7)
ICLR (5)
NIPS (5)
EACL (4)
ICML (3)
COLING (2)
CONLL (2)
IJCAI (1)
WACV (1)
Top co-authors
Research topics
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
Comparing human and language models sentence processing difficulties on complex structures
ACL 2026
InfAlign: Inference-aware language model alignment
ICML 2025
Theoretical guarantees on the best-of-n alignment policy
ICML 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 (Extended Abstract)
IJCAI 2025
When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models
ACL 2025
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
ICLR 2025
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
ICLR 2024
SEMQA: Semi-Extractive Multi-Source Question Answering
NAACL 2024
Large Language Models for Psycholinguistic Plausibility Pretesting
EACL 2024
Transforming and Combining Rewards for Aligning Large Language Models
ICML 2024
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
ICLR 2024
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
EMNLP 2024
Analyzing Transformers in Embedding Space
ACL 2023
Diverse Demonstrations Improve In-context Compositional Generalization
ACL 2023
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces
NIPS 2023
QAMPARI: A Benchmark for Open-domain Questions with Many Answers
EMNLP 2023
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding
EMNLP 2023
Answering Questions by Meta-Reasoning over Multiple Chains of Thought
EMNLP 2023
Crawling The Internal Knowledge-Base of Language Models
EACL 2023
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary
ACL 2023
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments
EMNLP 2022
Diagonal State Spaces are as Effective as Structured State Spaces
NIPS 2022
Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills
ACL 2022
Unobserved Local Structures Make Compositional Generalization Hard
EMNLP 2022
SCROLLS: Standardized CompaRison Over Long Language Sequences
EMNLP 2022
Inferring Implicit Relations in Complex Questions with Language Models
EMNLP 2022
Learning To Retrieve Prompts for In-Context Learning
NAACL 2022
Learning to Retrieve Passages without Supervision
NAACL 2022
Weakly Supervised Text-to-SQL Parsing through Question Decomposition
NAACL 2022
Few-Shot Question Answering by Pretraining Span Selection
IJCNLP 2021
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing
IJCNLP 2021
Evaluating the Evaluation of Diversity in Natural Language Generation
EACL 2021
BERTese: Learning to Speak to BERT
EACL 2021
Span-based Semantic Parsing for Compositional Generalization
ACL 2021
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing
ACL 2021
Achieving Model Robustness through Discrete Adversarial Training
EMNLP 2021
Transformer Feed-Forward Layers Are Key-Value Memories
EMNLP 2021
Whatβs in Your Head? Emergent Behaviour in Multi-Task Transformer Models
EMNLP 2021
Value-aware Approximate Attention
EMNLP 2021
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images
EMNLP 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization
EMNLP 2021
Memory-efficient Transformers via Top-k Attention
EMNLP 2021
Few-Shot Question Answering by Pretraining Span Selection
ACL 2021
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing
NAACL 2021
MultiModalQA: complex question answering over text, tables and images
ICLR 2021
Span-based Semantic Parsing for Compositional Generalization
IJCNLP 2021
A Simple and Effective Model for Answering Multi-span Questions
EMNLP 2020
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
NIPS 2020
Obtaining Faithful Interpretations from Compositional Neural Networks
ACL 2020
Injecting Numerical Reasoning Skills into Language Models
ACL 2020
Differentiable Scene Graphs
WACV 2020
Evaluating Modelsβ Local Decision Boundaries via Contrast Sets
EMNLP 2020
Improving Compositional Generalization in Semantic Parsing
EMNLP 2020
On Making Reading Comprehension More Comprehensive
EMNLP 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
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
NAACL 2019
Global Reasoning over Database Structures for Text-to-SQL Parsing
IJCNLP 2019
On the Limits of Learning to Actively Learn Semantic Representations
CONLL 2019
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension
ACL 2019
Neural network gradient-based learning of black-box function interfaces
ICLR 2019
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
ACL 2019
Donβt paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
IJCNLP 2019
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
NAACL 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
EMNLP 2019
Global Reasoning over Database Structures for Text-to-SQL Parsing
EMNLP 2019
Donβt paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
EMNLP 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
IJCNLP 2019
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
NIPS 2018
Contextualized Word Representations for Reading Comprehension
NAACL 2018
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
NIPS 2018
Proceedings of the Workshop on Machine Reading for Question Answering
ACL 2018
Learning to Search in Long Documents Using Document Structure
COLING 2018
Weakly Supervised Semantic Parsing with Abstract Examples
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
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing
EMNLP 2018
Coarse-to-Fine Question Answering for Long Documents
ACL 2017
Neural Semantic Parsing over Multiple Knowledge-bases
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
Semantic Parsing on Freebase from Question-Answer Pairs
EMNLP 2013
A Two Level Model for Context Sensitive Inference Rules
ACL 2013
Learning Biological Processes with Global Constraints
EMNLP 2013
Learning Verb Inference Rules from Linguistically-Motivated Evidence
CONLL 2012
Efficient Tree-based Approximation for Entailment Graph Learning
ACL 2012
Crowdsourcing Inference-Rule Evaluation
ACL 2012
Entailment-based Text Exploration with Application to the Health-care Domain
ACL 2012
Learning Verb Inference Rules from Linguistically-Motivated Evidence
EMNLP 2012
Global Learning of Typed Entailment Rules
ACL 2011
Recognising Entailment within Discourse
COLING 2010
Global Learning of Focused Entailment Graphs
ACL 2010
A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules
EMNLP 2009