Aman Madaan
23 papers · 2020–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Cross-Pollinator (12) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (7)
π§
Keyword Pioneer
π
Renaissance Researcher
(7)
π€
Dynamic Duo
(16)
π
Triple Crown
π₯
Mega-Team
(77)
π¬
Deep Specialist
(10)
π
Century Club
(23)
β
The Questioner
(3)
π
Trend Setter
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(77)
π₯
Unstoppable
(5)
Conferences
EMNLP (7)
ACL (5)
NAACL (3)
NIPS (3)
ICML (2)
IJCNLP (2)
ICLR (1)
Top co-authors
Keywords
large language model
(8)
language model
(4)
text generation
(4)
few-shot learning
(4)
natural language generation
(3)
evaluation metric
(3)
graph generation
(2)
chain-of-thought prompting
(2)
program-aided reasoning
(2)
few-shot prompting
(2)
pre-trained language model
(2)
model calibration
(1)
temporal reasoning
(1)
question answering
(1)
in-context learning
(1)
style transfer
(1)
data augmentation
(1)
program synthesis
(1)
natural language inference
(1)
sequence labeling
(1)
Papers
Learning Performance-Improving Code Edits
ICLR 2024
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale
NIPS 2024
AutoMix: Automatically Mixing Language Models
NIPS 2024
Program-Aided Reasoners (Better) Know What They Know
NAACL 2024
In-Context Principle Learning from Mistakes
ICML 2024
Self-Refine: Iterative Refinement with Self-Feedback
NIPS 2023
Complex Reasoning in Natural Language
ACL 2023
Letβs Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs
EMNLP 2023
What Makes Chain-of-Thought Prompting Effective? A Counterfactual Study
EMNLP 2023
PAL: Program-aided Language Models
ICML 2023
Memory-assisted prompt editing to improve GPT-3 after deployment
EMNLP 2022
Conditional set generation using Seq2seq models
EMNLP 2022
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
EMNLP 2022
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback
NAACL 2022
CURIE: An Iterative Querying Approach for Reasoning About Situations
ACL 2022
Language Models of Code are Few-Shot Commonsense Learners
EMNLP 2022
Think about it! Improving defeasible reasoning by first modeling the question scenario.
EMNLP 2021
Could you give me a hint ? Generating inference graphs for defeasible reasoning
ACL 2021
Could you give me a hint ? Generating inference graphs for defeasible reasoning
IJCNLP 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
ACL 2021
Neural Language Modeling for Contextualized Temporal Graph Generation
NAACL 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
IJCNLP 2021
Politeness Transfer: A Tag and Generate Approach
ACL 2020