Leshem Choshen

64 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (11) 🌟 Keyword Trendsetter Combo (3) 🏆 Grand Slam 👑 Triple Crown 🧬 Topic Evolution 🏆 Keyword Champion 🤝 Dynamic Duo (25) 👥 Mega-Team (28) ❓ The Questioner (3) 💎 Century Club (62) 🚀 Conference Pioneer 📈 Trend Setter 🗃️ Keyword Collector (238) ⚡ Prolific Year (9) 🔥 Unstoppable (8)

Conferences

ACL (16) EMNLP (16) CONLL (7) NAACL (6) ICLR (5) ICML (5) COLING (3) EACL (2) NIPS (2) AAAI (1) SEMEVAL (1)

Top co-authors

Omri Abend (25) Noam Slonim (12) Eyal Shnarch (10) Ariel Gera (8) Ranit Aharonov (7) Lena Dankin (6) Yoav Katz (6) Shachar Don-Yehiya (6) Alex Warstadt (5) Liat Ein-Dor (5)

Research topics

Applications (1) Privacy (1)

Keywords

language model (10) machine translation (7) large language model (7) grammatical error correction (6) text classification (6) benchmark evaluation (5) transfer learning (5) universal dependencies (4) neural machine translation (4) natural language processing (3) active learning (3) model selection (3) reference-based evaluation (3) text generation (3) pretrained language model (3) cognitive modeling (2) language modeling (2) bert model (2) argument mining (2) model evaluation (2)

Papers

BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data EACL 2026

Pretraining Language Models for Diachronic Linguistic Change Discovery EACL 2026

Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data EMNLP 2025

Beneath the Surface of Consistency: Exploring Cross-lingual Knowledge Representation Sharing in LLMs NAACL 2025

Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead ICML 2025

A Hitchhiker’s Guide to Scaling Law Estimation ICML 2025

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation ACL 2025

The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community ACL 2025

DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation ACL 2025

LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content ICLR 2025

Model merging with SVD to tie the Knots ICLR 2025

Efficient multi-prompt evaluation of LLMs NIPS 2024

Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora CONLL 2024

Label-Efficient Model Selection for Text Generation ACL 2024

Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability ACL 2024

Data Contamination Report from the 2024 CONDA Shared Task ACL 2024

Jump to Conclusions: Short-Cutting Transformers with Linear Transformations COLING 2024

Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs) COLING 2024

NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning EMNLP 2024

Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI NAACL 2024

Efficient Benchmarking (of Language Models) NAACL 2024

Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion EMNLP 2024

Achieving Human Parity in Content-Grounded Datasets Generation ICLR 2024

Asymmetry in Low-Rank Adapters of Foundation Models ICML 2024

tinyBenchmarks: evaluating LLMs with fewer examples ICML 2024

TIES-Merging: Resolving Interference When Merging Models NIPS 2023

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning ACL 2023

DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering ACL 2023

MuLER: Detailed and Scalable Reference-based Evaluation CONLL 2023

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora CONLL 2023

Where to start? Analyzing the potential value of intermediate models EMNLP 2023

Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney EMNLP 2023

Knowledge is a Region in Weight Space for Fine-tuned Language Models EMNLP 2023

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora EMNLP 2023

MuLER: Detailed and Scalable Reference-based Evaluation EMNLP 2023

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours EMNLP 2022

Enhancing the Transformer Decoder with Transition-based Syntax EMNLP 2022

Enhancing the Transformer Decoder with Transition-based Syntax CONLL 2022

On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation CONLL 2022

Reinforcement Learning with Large Action Spaces for Neural Machine Translation COLING 2022

The Grammar-Learning Trajectories of Neural Language Models ACL 2022

Cluster & Tune: Boost Cold Start Performance in Text Classification ACL 2022

Semantics-aware Attention Improves Neural Machine Translation NAACL 2022

PreQuEL: Quality Estimation of Machine Translation Outputs in Advance EMNLP 2022

On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation EMNLP 2022

Q2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering EMNLP 2021

Mediators in Determining what Processing BERT Performs First NAACL 2021

Active Learning for BERT: An Empirical Study EMNLP 2020

Corpus Wide Argument Mining—A Working Solution AAAI 2020

Classifying Syntactic Errors in Learner Language CONLL 2020

Let’s Agree to Agree: Neural Networks Share Classification Order on Real Datasets ICML 2020

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains EMNLP 2020

Classifying Syntactic Errors in Learner Language EMNLP 2020

On the Weaknesses of Reinforcement Learning for Neural Machine Translation ICLR 2020

The Language of Legal and Illegal Activity on the Darknet ACL 2019

Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation CONLL 2019

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network ACL 2019

Learning to combine Grammatical Error Corrections ACL 2019

SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA SEMEVAL 2019

Inherent Biases in Reference-based Evaluation for Grammatical Error Correction ACL 2018

Automatic Metric Validation for Grammatical Error Correction ACL 2018

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining ACL 2018

Reference-less Measure of Faithfulness for Grammatical Error Correction NAACL 2018

DORA The Explorer: Directed Outreaching Reinforcement Action-Selection ICLR 2018