Hamid Palangi
26 papers · 2020–2026 · 8 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 (57) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Grand Slam
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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The Questioner
(2)
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Century Club Β· Bronze
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Renaissance Researcher
(7)
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Keyword Collector
(147)
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Research topics
Artificial Intelligence
(22)
Core AI
(22)
Machine Learning
(15)
Deep Learning
(12)
Natural Language Processing
(12)
Learning Types Β· Deep Learning
(9)
Learning Types Β· Machine Learning
(8)
Resources & Methods
(7)
Application Areas
(6)
Generation
(4)
Computer Vision
(3)
Applications
(3)
Core Methods
(3)
Models
(3)
Interdisciplinary
(2)
Keywords
language model
(5)
large language model
(4)
text classification
(4)
visual question answering
(2)
gender bia
(2)
toxicity detection
(2)
pre-trained language model
(2)
adversarial training
(2)
tensor product representation
(2)
knowledge distillation
(2)
multimodal learning
(2)
reinforcement learning
(2)
supervised fine-tuning
(2)
model robustness
(2)
abstractive summarization
(2)
preference optimization
(1)
data augmentation
(1)
automated planning
(1)
factual accuracy
(1)
knowledge editing
(1)
Papers
Watch and Learn: Learning to Use Computers from Online Videos
CVPR 2026
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents
ACL 2025
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation
ACL 2025
ModelCitizens: Representing Community Voices in Online Safety
EMNLP 2025
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
ICML 2025
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
EMNLP 2025
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
EMNLP 2025
Reverse Thinking Makes LLMs Stronger Reasoners
NAACL 2025
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
ACL 2024
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
ICLR 2024
Teaching Language Models to Hallucinate Less with Synthetic Tasks
ICLR 2024
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
NeurIPS 2023
A Large-Scale Robustness Analysis of Video Action Recognition Models
CVPR 2023
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
ACL 2023
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness
AAAI 2023
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
NeurIPS 2023
Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models
ACL 2023
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
ICML 2023
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
EMNLP 2022
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
NeurIPS 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
ACL 2022
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization
NAACL 2021
NICE: Neural Image Commenting with Empathy
EMNLP 2021
Mapping natural-language problems to formal-language solutions using structured neural representations
ICML 2020
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
ICML 2020
Unified Vision-Language Pre-Training for Image Captioning and VQA
AAAI 2020