Hootan Nakhost
11 papers · 2013–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Renaissance Researcher
(7)
β
The Questioner
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(50)
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Natural Language Processing
(6)
Core AI
(5)
Application Areas
(4)
Resources & Methods
(4)
Deep Learning
(3)
Generation
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Optimization & Theory
(2)
Computer Science
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Keywords
large language model
(5)
in-context learning
(3)
differential privacy
(2)
few-shot learning
(2)
pre-trained language model
(2)
language model
(2)
entity extraction
(2)
privacy guarantee
(2)
clinical note
(2)
multi-agent system
(2)
knowledge distillation
(1)
sql generation
(1)
model interpretability
(1)
instruction tuning
(1)
privacy preservation
(1)
automated planning
(1)
zero-shot learning
(1)
rationale extraction
(1)
prompt optimization
(1)
text generation
(1)
Papers
VISTA: A Test-Time Self-Improving Video Generation Agent
CVPR 2026
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
EMNLP 2025
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
NeurIPS 2024
TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents
ACL 2024
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
ACL 2023
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data
EMNLP 2023
Universal Self-Adaptive Prompting
EMNLP 2023
Learning and Evaluating a Differentially Private Pre-trained Language Model
EMNLP 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model
NAACL 2021
Interpretable Sequence Learning for Covid-19 Forecasting
NeurIPS 2020
Towards a Second Generation Random Walk Planner: An Experimental Exploration
IJCAI 2013