Roy Schwartz
56 papers · 2011–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (11)
πΊοΈ
Taxonomy Completionist
(91)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π±
Topic Pioneer
π€
Dynamic Duo
(22)
ποΈ
Keyword Collector
(199)
β
The Questioner
(4)
β‘
Prolific Year
(6)
π
Trend Setter
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Century Club
(54)
π₯
Unstoppable
(15)
Conferences
EMNLP (16)
ACL (13)
NAACL (9)
IJCNLP (5)
CONLL (3)
COLING (2)
ICLR (2)
NIPS (2)
AAAI (1)
COLT (1)
EACL (1)
ICCV (1)
Top co-authors
Keywords
language model
(9)
text classification
(7)
attention mechanism
(6)
recurrent neural network
(5)
multimodal learning
(4)
natural language processing
(3)
visual question answering
(3)
language modeling
(3)
validation performance
(3)
neural architecture
(3)
natural language inference
(3)
constituency parsing
(2)
early exit
(2)
model compression
(2)
sparse regularization
(2)
convolutional neural network
(2)
knowledge base
(2)
unsupervised learning
(2)
unsupervised parsing
(2)
entity linking
(2)
Papers
How Quantization Shapes Bias in Large Language Models
EACL 2026
Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models
ACL 2026
On Pruning State-Space LLMs
EMNLP 2025
From Tokens to Words: On the Inner Lexicon of LLMs
ICLR 2025
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
EMNLP 2025
Beyond Performance: Quantifying and Mitigating Label Bias in LLMs
NAACL 2024
Attend First, Consolidate Later: On the Importance of Attention in Different LLM Layers
EMNLP 2024
Transformers are Multi-State RNNs
EMNLP 2024
Curating Datasets for Better Performance with Example Training Dynamics
ACL 2023
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images
ICCV 2023
Textually Pretrained Speech Language Models
NIPS 2023
VASR: Visual Analogies of Situation Recognition
AAAI 2023
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings
ACL 2023
Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases
ACL 2023
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers
EMNLP 2022
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models
NIPS 2022
Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias
NAACL 2022
ABC: Attention with Bounded-memory Control
ACL 2022
Data Contamination: From Memorization to Exploitation
ACL 2022
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations
NAACL 2022
Random Feature Attention
ICLR 2021
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA
NAACL 2021
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
NAACL 2021
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent
EMNLP 2021
Data Efficient Masked Language Modeling for Vision and Language
EMNLP 2021
Expected Validation Performance and Estimation of a Random Variableβs Maximum
EMNLP 2021
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
EMNLP 2020
A Formal Hierarchy of RNN Architectures
ACL 2020
A Mixture of h - 1 Heads is Better than h Heads
ACL 2020
The Right Tool for the Job: Matching Model and Instance Complexities
ACL 2020
PaLM: A Hybrid Parser and Language Model
EMNLP 2019
Show Your Work: Improved Reporting of Experimental Results
EMNLP 2019
RNN Architecture Learning with Sparse Regularization
EMNLP 2019
Knowledge Enhanced Contextual Word Representations
EMNLP 2019
Knowledge Enhanced Contextual Word Representations
IJCNLP 2019
RNN Architecture Learning with Sparse Regularization
IJCNLP 2019
Show Your Work: Improved Reporting of Experimental Results
IJCNLP 2019
PaLM: A Hybrid Parser and Language Model
IJCNLP 2019
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
NAACL 2019
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
NAACL 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
EMNLP 2018
Rational Recurrences
EMNLP 2018
LSTMs Exploit Linguistic Attributes of Data
ACL 2018
Bridging CNNs, RNNs, and Weighted Finite-State Machines
ACL 2018
Annotation Artifacts in Natural Language Inference Data
NAACL 2018
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task
CONLL 2017
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations
CONLL 2017
Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives
NAACL 2016
How Well Do Distributional Models Capture Different Types of Semantic Knowledge?
ACL 2015
How Well Do Distributional Models Capture Different Types of Semantic Knowledge?
IJCNLP 2015
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction
CONLL 2015
Minimally Supervised Classification to Semantic Categories using Automatically Acquired Symmetric Patterns
COLING 2014
Authorship Attribution of Micro-Messages
EMNLP 2013
Learnability-Based Syntactic Annotation Design
COLING 2012
Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem
COLT 2012
Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation
ACL 2011