Srinivasan Iyer
20 papers · 2016–2024 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Natural Language Processing
(12)
Artificial Intelligence
(9)
Core AI
(9)
Deep Learning
(8)
Applications Β· Natural Language Processing
(8)
Machine Learning
(6)
Learning Types Β· Deep Learning
(6)
Generation
(5)
Core Methods
(4)
Resources & Methods
(3)
Computer Science
(2)
Applications Β· Computer Science
(2)
Architectures
(2)
Learning Types Β· Machine Learning
(2)
Optimization & Theory
(2)
Keywords
semantic parsing
(5)
question answering
(4)
code generation
(4)
large language model
(3)
knowledge editing
(2)
program synthesis
(2)
instruction tuning
(2)
in-context learning
(1)
machine translation
(1)
few-shot learning
(1)
extractive summarization
(1)
named entity recognition
(1)
text generation
(1)
abstract meaning representation
(1)
prompt engineering
(1)
information extraction
(1)
language modeling
(1)
masked language model
(1)
entity linking
(1)
information bottleneck
(1)
Papers
Instruction-tuned Language Models are Better Knowledge Learners
ACL 2024
Complementary Explanations for Effective In-Context Learning
ACL 2023
LIMA: Less Is More for Alignment
NeurIPS 2023
Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models
EACL 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
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
ACL 2021
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle
EMNLP 2021
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering
NAACL 2021
Efficient One-Pass End-to-End Entity Linking for Questions
EMNLP 2020
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation
EMNLP 2019
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 to Map Context-Dependent Sentences to Executable Formal Queries
NAACL 2018
Mapping Language to Code in Programmatic Context
EMNLP 2018
Neural Semantic Parsing
ACL 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