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Abhilasha Ravichander

27 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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+8 more ↓ 🗺️ Taxonomy Completionist (49) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
👥 Mega-Team · Squad 🧬 Topic Evolution ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze ❓ The Questioner (8) 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (122)

Papers

HALoGEN: Fantastic LLM Hallucinations and Where to Find Them ACL 2025 Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models NAACL 2025 Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can’t Answer? NAACL 2025 What Has Been Lost with Synthetic Evaluation? EMNLP 2025 WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild ICLR 2025 Agent Lumos: Unified and Modular Training for Open-Source Language Agents ACL 2024 Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? ACL 2024 Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ACL 2024 MacGyver: Are Large Language Models Creative Problem Solvers? NAACL 2024 OLMo: Accelerating the Science of Language Models ACL 2024 The Art of Saying No: Contextual Noncompliance in Language Models NeurIPS 2024 The Generative AI Paradox: “What It Can Create, It May Not Understand” ICLR 2024 The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning ICLR 2024 What's In My Big Data? ICLR 2024 Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023 When and Why Does Bias Mitigation Work? EMNLP 2023 CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation EMNLP 2022 CURIE: An Iterative Querying Approach for Reasoning About Situations ACL 2022 Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy? ACL 2021 NoiseQA: Challenge Set Evaluation for User-Centric Question Answering EACL 2021 Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? EACL 2021 On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT COLING 2020 Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm EMNLP 2020 EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference CoNLL 2019 Exploring Numeracy in Word Embeddings ACL 2019 Question Answering for Privacy Policies: Combining Computational and Legal Perspectives EMNLP 2019 Stress Test Evaluation for Natural Language Inference COLING 2018