Noam Slonim

Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation EMNLP 2025 Efficient Benchmarking (of Language Models) NAACL 2024 Active Learning for Natural Language Generation EMNLP 2023 Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy EACL 2023 ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning ACL 2023 Knowledge is a Region in Weight Space for Fine-tuned Language Models EMNLP 2023 nBIIG: A Neural BI Insights Generation System for Table Reporting AAAI 2023 The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers ACL 2023 Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis EMNLP 2023 Where to start? Analyzing the potential value of intermediate models EMNLP 2023 Zero-shot Topical Text Classification with LLMs - an Experimental Study EMNLP 2023 Cluster & Tune: Boost Cold Start Performance in Text Classification ACL 2022 Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis AAAI 2022 Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours EMNLP 2022 Multi-Domain Targeted Sentiment Analysis NAACL 2022 Quality Controlled Paraphrase Generation ACL 2022 Zero-Shot Text Classification with Self-Training EMNLP 2022 Advances in Debating Technologies: Building AI That Can Debate Humans ACL 2021 Every Bite Is an Experience: Key Point Analysis of Business Reviews ACL 2021 Overview of the 2021 Key Point Analysis Shared Task EMNLP 2021 Project Debater APIs: Decomposing the AI Grand Challenge EMNLP 2021 YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews EMNLP 2021 Active Learning for BERT: An Empirical Study EMNLP 2020 A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis AAAI 2020 Corpus Wide Argument Mining—A Working Solution AAAI 2020 From Arguments to Key Points: Towards Automatic Argument Summarization ACL 2020 Multilingual Argument Mining: Datasets and Analysis EMNLP 2020 Out of the Echo Chamber: Detecting Countering Debate Speeches ACL 2020 Quantitative argument summarization and beyond: Cross-domain key point analysis EMNLP 2020 The workweek is the best time to start a family – A Study of GPT-2 Based Claim Generation EMNLP 2020 Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains EMNLP 2020 A Dataset of General-Purpose Rebuttal EMNLP 2019 Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network ACL 2019 Argument Invention from First Principles ACL 2019 Automatic Argument Quality Assessment - New Datasets and Methods EMNLP 2019 Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation EMNLP 2019 Financial Event Extraction Using Wikipedia-Based Weak Supervision EMNLP 2019 From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion ACL 2019 Learning to combine Grammatical Error Corrections ACL 2019 Syntactic Interchangeability in Word Embedding Models NAACL 2019 Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining ACL 2019 Learning Concept Abstractness Using Weak Supervision EMNLP 2018 Learning Sentiment Composition from Sentiment Lexicons COLING 2018 Learning Thematic Similarity Metric from Article Sections Using Triplet Networks ACL 2018 Listening Comprehension over Argumentative Content EMNLP 2018 Proceedings of the 5th Workshop on Argument Mining EMNLP 2018 Towards an argumentative content search engine using weak supervision COLING 2018 Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining ACL 2018 GRASP: Rich Patterns for Argumentation Mining EMNLP 2017 Stance Classification of Context-Dependent Claims EACL 2017 Claim Synthesis via Predicate Recycling ACL 2016 NLP Approaches to Computational Argumentation ACL 2016 Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection EMNLP 2015 TR9856: A Multi-word Term Relatedness Benchmark ACL 2015 Claims on demand – an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora COLING 2014 Context Dependent Claim Detection COLING 2014 Hartigan’s K-Means Versus Lloyd’s K-Means — Is It Time for a Change? IJCAI 2013 Information Bottleneck for Non Co-Occurrence Data NeurIPS 2006