Srinivasan Iyer
23 papers · 2016–2024 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(12)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(8)
👥
Mega-Team
(24)
🤝
Dynamic Duo
(12)
🗃️
Keyword Collector
(67)
❓
The Questioner
(2)
⚡
Prolific Year
(5)
💎
Century Club
(23)
🔥
Unstoppable
(9)
📈
Trend Setter
Conferences
ACL (7)
EMNLP (7)
IJCNLP (3)
NAACL (3)
EACL (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
semantic parsing
(6)
code generation
(6)
question answering
(4)
large language model
(3)
knowledge editing
(2)
program synthesis
(2)
syntax tree
(2)
context-based generation
(2)
code idiom
(2)
jupyter notebook
(2)
instruction tuning
(2)
distant supervision
(2)
masked language model
(1)
information extraction
(1)
text generation
(1)
named entity recognition
(1)
entity linking
(1)
continued pretraining
(1)
sql generation
(1)
extractive summarization
(1)
Papers
Instruction-tuned Language Models are Better Knowledge Learners
ACL 2024
Complementary Explanations for Effective In-Context Learning
ACL 2023
Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models
EACL 2023
LIMA: Less Is More for Alignment
NIPS 2023
Efficient Large Scale Language Modeling with Mixtures of Experts
EMNLP 2022
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection
EMNLP 2022
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering
NAACL 2021
Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations
ACL 2021
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle
EMNLP 2021
DeLighT: Deep and Light-weight Transformer
ICLR 2021
Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations
IJCNLP 2021
Efficient One-Pass End-to-End Entity Linking for Questions
EMNLP 2020
Learning Programmatic Idioms for Scalable Semantic Parsing
EMNLP 2019
Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation
NAACL 2019
Learning Programmatic Idioms for Scalable Semantic Parsing
IJCNLP 2019
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation
IJCNLP 2019
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation
EMNLP 2019
Neural Semantic Parsing
ACL 2018
Mapping Language to Code in Programmatic Context
EMNLP 2018
Learning to Map Context-Dependent Sentences to Executable Formal Queries
NAACL 2018
Learning a Neural Semantic Parser from User Feedback
ACL 2017
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
ACL 2017
Summarizing Source Code using a Neural Attention Model
ACL 2016