Ashwin Srinivasan
13 papers · 2003–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🏃 Academic Marathon (22) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (11)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(22)
🐝
Cross-Pollinator
(11)
🌟
Keyword Trendsetter Combo
(3)
🌱
Topic Pioneer
🧬
Topic Evolution
💎
Century Club
(13)
🗃️
Keyword Collector
(59)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
JMLR (6)
ACL (3)
AAAI (2)
NAACL (1)
SEMEVAL (1)
Top co-authors
Keywords
inductive logic programming
(6)
large language model
(2)
first-order logic
(2)
prompt engineering
(2)
domain adaptation
(2)
knowledge representation
(1)
transfer learning
(1)
zero-shot learning
(1)
data augmentation
(1)
natural language inference
(1)
in-context learning
(1)
multi-task learning
(1)
knowledge distillation
(1)
text generation
(1)
program synthesis
(1)
explainable ai
(1)
dense retrieval
(1)
iterative refinement
(1)
predictive accuracy
(1)
feature selection
(1)
Papers
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting
NAACL 2025
AutoRef: Generating Refinements of Reviews Given Guidelines
ACL 2024
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback
AAAI 2024
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
ACL 2022
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract)
AAAI 2022
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
ACL 2019
Logical Explanations for Deep Relational Machines Using Relevance Information
JMLR 2019
Parameter Screening and Optimisation for ILP using Designed Experiments
JMLR 2011
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
JMLR 2008
USP-IBM-1 and USP-IBM-2: The ILP-based Systems for Lexical Sample WSD in SemEval-2007
SEMEVAL 2007
Query Transformations for Improving the Efficiency of ILP Systems
JMLR 2003
ILP: A Short Look Back and a Longer Look Forward
JMLR 2003
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming
JMLR 2003