Hamed Firooz
22 papers · 2020–2026 · 10 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.
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Artificial Intelligence
(17)
Machine Learning
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(16)
Natural Language Processing
(10)
Deep Learning
(8)
Learning Types Β· Machine Learning
(8)
Applications
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Computer Vision
(1)
Knowledge & Reasoning
(1)
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(1)
Keywords
multimodal learning
(7)
image classification
(4)
text classification
(3)
model compression
(3)
self-supervised learning
(2)
in-context learning
(2)
knowledge distillation
(2)
multimodal classification
(2)
large language model
(2)
meme classification
(2)
rationale extraction
(2)
data augmentation
(1)
binary classification
(1)
data poisoning
(1)
embedding learning
(1)
language modeling
(1)
few-shot learning
(1)
information retrieval
(1)
chain-of-thought reasoning
(1)
sentiment analysis
(1)
Papers
Large Scale Retrieval for the LinkedIn Feed Using Causal Language Models
AAAI 2026
To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples
ACL 2026
CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations
ACL 2025
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features
AAAI 2024
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models
NAACL 2024
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
EMNLP 2023
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning
CVPR 2023
Identifying Interpretable Subspaces in Image Representations
ICML 2023
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning
ACL 2023
MUSTIE: Multimodal Structural Transformer for Web Information Extraction
ACL 2023
Understanding the detrimental class-level effects of data augmentation
NeurIPS 2023
A Survey on Multimodal Disinformation Detection
COLING 2022
Detecting and Understanding Harmful Memes: A Survey
IJCAI 2022
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem
ACL 2022
ER-Test: Evaluating Explanation Regularization Methods for Language Models
EMNLP 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
ACL 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
ICML 2022
Detecting Propaganda Techniques in Memes
ACL 2021
Modality-specific Distillation
NAACL 2021
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding
EMNLP 2021
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
SemEval 2021
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
NeurIPS 2020