Melanie Subbiah

9 papers · 2020–2025 · 3 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.

Achievements

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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (23) 🌍 Conference Polyglot · Bronze

👥 Mega-Team · Squad ❓ The Questioner 🗃️ Keyword Collector (55)

Venues

EMNLP (5) ACL (3) NeurIPS (1)

Top co-authors

Kathleen McKeown (8) Akankshya Mishra (2) Emily Allaway (2) Sharon Levy (2) Desmond Patton (2) Lydia Chilton (2) William Yang Wang (2) Greg Durrett (1) Griffin Thomas Adams (1) Arvind Neelakantan (1)

Research topics

Artificial Intelligence (8) Core AI (8) Machine Learning (6) Natural Language Processing (5) Learning Types · Machine Learning (4) Application Areas (3) Applications (3) Core Methods (2) Generation (2) Deep Learning (1) Healthcare & Medicine (1) Clinical (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

benchmark dataset (3) text classification (3) natural language generation (2) language model (2) text summarization (2) harmful content detection (2) faithfulness evaluation (2) claim verification (1) natural language inference (1) few-shot learning (1) rationale extraction (1) explainable ai (1) adversarial training (1) news analysis (1) text generation (1) model robustness (1) autoregressive model (1) ai safety (1) llm evaluation (1) responsible ai (1)

Papers

AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization EMNLP 2025 Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding EMNLP 2025 STORYSUMM: Evaluating Faithfulness in Story Summarization EMNLP 2024 Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence ACL 2023 Towards Detecting Harmful Agendas in News Articles ACL 2023 Unsupervised Selective Rationalization with Noise Injection ACL 2023 Mitigating Covertly Unsafe Text within Natural Language Systems EMNLP 2022 SafeText: A Benchmark for Exploring Physical Safety in Language Models EMNLP 2022 Language Models are Few-Shot Learners NeurIPS 2020