Subhabrata Mukherjee
30 papers · 2012–2025 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(13)
🧭
Keyword Pioneer
🏆
Keyword Champion
(2)
🤝
Dynamic Duo
(10)
🗃️
Keyword Collector
(100)
⚡
Prolific Year
(8)
💎
Century Club
(30)
🔥
Unstoppable
(8)
Conferences
ACL (8)
EMNLP (5)
NAACL (4)
NIPS (4)
COLING (2)
ICLR (2)
IJCNLP (2)
AAAI (1)
CVPR (1)
EACL (1)
Top co-authors
Keywords
model compression
(5)
knowledge distillation
(5)
text classification
(4)
neural network
(4)
neural architecture search
(3)
few-shot learning
(3)
mixture of expert
(3)
pre-trained language model
(3)
large language model
(3)
transfer learning
(2)
cross-lingual transfer
(2)
representation learning
(2)
semi-supervised learning
(2)
consistency constraint
(2)
stance classification
(2)
efficient computing
(2)
parameter-efficient fine-tuning
(2)
prompt engineering
(1)
natural language generation
(1)
natural language inference
(1)
Papers
Red Queen: Exposing Latent Multi-Turn Risks in Large Language Models
ACL 2025
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
ICLR 2024
Teaching Language Models to Hallucinate Less with Synthetic Tasks
ICLR 2024
Task-Based MoE for Multitask Multilingual Machine Translation
EMNLP 2023
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
EACL 2023
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training
ACL 2023
Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding
ACL 2023
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints
ACL 2023
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation
ACL 2023
Accelerating Dataset Distillation via Model Augmentation
CVPR 2023
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
AAAI 2023
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners
NAACL 2022
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models
NIPS 2022
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
NIPS 2022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
EMNLP 2022
Self-Training with Weak Supervision
NAACL 2021
Self-training with Few-shot Rationalization
EMNLP 2021
Fairness via Representation Neutralization
NIPS 2021
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
NAACL 2021
Uncertainty-aware Self-training for Few-shot Text Classification
NIPS 2020
Smart To-Do: Automatic Generation of To-Do Items from Emails
ACL 2020
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer
ACL 2020
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models
ACL 2020
STANCY: Stance Classification Based on Consistency Cues
EMNLP 2019
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference
NAACL 2019
STANCY: Stance Classification Based on Consistency Cues
IJCNLP 2019
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
EMNLP 2018
Sentiment Aggregation using ConceptNet Ontology
IJCNLP 2013
YouCat: Weakly Supervised Youtube Video Categorization System from Meta Data & User Comments using WordNet & Wikipedia
COLING 2012
Sentiment Analysis in Twitter with Lightweight Discourse Analysis
COLING 2012