Yanai Elazar
32 papers · 2018–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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commonsense reasoning
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in-context learning
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representation learning
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model evaluation
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pretraining corpus
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bias detection
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cross-lingual transfer
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Papers
Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases
ACL 2025
Calibrating Large Language Models with Sample Consistency
AAAI 2025
Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data
ICLR 2025
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
ACL 2025
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
ACL 2025
On Linear Representations and Pretraining Data Frequency in Language Models
ICLR 2025
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation
EMNLP 2024
Data Contamination Report from the 2024 CONDA Shared Task
ACL 2024
Detection and Measurement of Syntactic Templates in Generated Text
EMNLP 2024
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
Estimating the Causal Effect of Early ArXiving on Paper Acceptance
CLeaR 2024
Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG
EMNLP 2024
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
EMNLP 2024
OLMo: Accelerating the Science of Language Models
ACL 2024
Paloma: A Benchmark for Evaluating Language Model Fit
NeurIPS 2024
The Bias Amplification Paradox in Text-to-Image Generation
NAACL 2024
What's In My Big Data?
ICLR 2024
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm
EACL 2023
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
ACL 2023
Lexical Generalization Improves with Larger Models and Longer Training
EMNLP 2022
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema
EMNLP 2021
Contrastive Explanations for Model Interpretability
EMNLP 2021
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT
EACL 2021
Do Language Embeddings capture Scales?
EMNLP 2020
Evaluating Models’ Local Decision Boundaries via Contrast Sets
EMNLP 2020
It’s not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT
EMNLP 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
ACL 2020
The Extraordinary Failure of Complement Coercion Crowdsourcing
EMNLP 2020
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations
EMNLP 2020
Adversarial Removal of Demographic Attributes Revisited
EMNLP 2019
How Large Are Lions? Inducing Distributions over Quantitative Attributes
ACL 2019
Adversarial Removal of Demographic Attributes from Text Data
EMNLP 2018