Abhilasha Ravichander
29 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
๐ Interdisciplinary Bridge ๐ Renaissance Researcher (7) ๐ Conference Polyglot (9) ๐ Academic Marathon (7) ๐บ๏ธ Taxonomy Completionist (48)
๐บ๏ธ
Taxonomy Completionist
(48)
๐งญ
Keyword Pioneer
๐ฃ
Hot Topic Early Bird
๐งฌ
Topic Evolution
๐ฅ
Mega-Team
(43)
โ
The Questioner
(9)
โก
Prolific Year
(9)
๐ฅ
Unstoppable
(8)
๐๏ธ
Keyword Collector
(109)
๐
Century Club
(29)
Conferences
ACL (8)
EMNLP (6)
ICLR (4)
NAACL (3)
COLING (2)
EACL (2)
IJCNLP (2)
CONLL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(7)
benchmark evaluation
(5)
question answering
(5)
natural language inference
(3)
numerical reasoning
(3)
language model
(3)
training datum
(2)
consumer privacy
(2)
reading comprehension
(2)
neural baseline
(2)
privacy policy
(2)
language understanding
(2)
text classification
(2)
text generation
(2)
textual entailment
(2)
privacy policies
(2)
named entity recognition
(1)
document summarization
(1)
natural language processing
(1)
reinforcement learning
(1)
Papers
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
NAACL 2025
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
ICLR 2025
Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Canโt Answer?
NAACL 2025
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them
ACL 2025
What Has Been Lost with Synthetic Evaluation?
EMNLP 2025
The Art of Saying No: Contextual Noncompliance in Language Models
NIPS 2024
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
ACL 2024
Agent Lumos: Unified and Modular Training for Open-Source Language Agents
ACL 2024
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
OLMo: Accelerating the Science of Language Models
ACL 2024
What's In My Big Data?
ICLR 2024
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
ICLR 2024
The Generative AI Paradox: โWhat It Can Create, It May Not Understandโ
ICLR 2024
MacGyver: Are Large Language Models Creative Problem Solvers?
NAACL 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
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?
EACL 2021
Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?
IJCNLP 2021
Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?
ACL 2021
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering
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
Exploring Numeracy in Word Embeddings
ACL 2019
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives
EMNLP 2019
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives
IJCNLP 2019
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference
CONLL 2019
Stress Test Evaluation for Natural Language Inference
COLING 2018