Samyadeep Basu
16 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (9)
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Cross-Pollinator
(9)
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Renaissance Researcher
(5)
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Taxonomy Completionist
(34)
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Topic Evolution
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Triple Crown
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(12)
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(30)
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Grand Slam
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(6)
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Keyword Collector
(57)
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Prolific Year
(7)
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Century Club
(14)
Conferences
EMNLP (4)
ICLR (4)
EACL (2)
ICML (2)
NIPS (2)
AAAI (1)
NAACL (1)
Top co-authors
Keywords
few-shot learning
(3)
vision transformer
(2)
contrastive learning
(2)
transfer learning
(2)
multimodal learning
(2)
factual knowledge
(1)
question answering
(1)
domain adaptation
(1)
knowledge distillation
(1)
image representation
(1)
visual question answering
(1)
chain-of-thought reasoning
(1)
image retrieval
(1)
intent classification
(1)
bias detection
(1)
feature extraction
(1)
model editing
(1)
fisher information
(1)
image classification
(1)
representation learning
(1)
Papers
A Survey on LLM-based Conversational User Simulation
EACL 2026
Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models
EACL 2026
A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models
EMNLP 2025
Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models
ICLR 2025
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning
EMNLP 2024
Localizing and Editing Knowledge In Text-to-Image Generative Models
ICLR 2024
Understanding Information Storage and Transfer in Multi-Modal Large Language Models
NIPS 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
NIPS 2024
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning
AAAI 2024
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
EMNLP 2024
On Mechanistic Knowledge Localization in Text-to-Image Generative Models
ICML 2024
On Surgical Fine-tuning for Language Encoders
EMNLP 2023
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
ICLR 2023
Strategies to Improve Few-shot Learning for Intent Classification and Slot-Filling
NAACL 2022
Influence Functions in Deep Learning Are Fragile
ICLR 2021
On Second-Order Group Influence Functions for Black-Box Predictions
ICML 2020