Subhabrata Mukherjee
29 papers · 2012–2025 · 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.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (49) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π€
Dynamic Duo
(10)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(107)
Venues
Top co-authors
Research topics
Machine Learning
(18)
Natural Language Processing
(16)
Artificial Intelligence
(13)
Learning Types Β· Machine Learning
(11)
Deep Learning
(10)
Core AI
(10)
Application Areas
(9)
Resources & Methods
(7)
Applications
(6)
Generation
(6)
Learning Types Β· Deep Learning
(6)
Architectures
(5)
Core Methods
(5)
Learning Paradigms
(5)
Optimization & Theory
(4)
Keywords
knowledge distillation
(5)
model compression
(5)
large language model
(4)
text classification
(3)
few-shot learning
(3)
neural network
(3)
neural architecture search
(3)
mixture of expert
(3)
pre-trained language model
(3)
representation learning
(2)
language model
(2)
semi-supervised learning
(2)
transfer learning
(2)
cross-lingual transfer
(2)
parameter-efficient fine-tuning
(2)
efficient computing
(2)
natural language inference
(1)
noisy label learning
(1)
autoregressive transformer
(1)
prompt-based learning
(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
Accelerating Dataset Distillation via Model Augmentation
CVPR 2023
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
AAAI 2023
Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding
ACL 2023
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training
ACL 2023
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation
ACL 2023
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
EACL 2023
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints
ACL 2023
Task-Based MoE for Multitask Multilingual Machine Translation
EMNLP 2023
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
EMNLP 2022
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
NeurIPS 2022
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners
NAACL 2022
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models
NeurIPS 2022
Fairness via Representation Neutralization
NeurIPS 2021
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
NAACL 2021
Self-training with Few-shot Rationalization
EMNLP 2021
Self-Training with Weak Supervision
NAACL 2021
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer
ACL 2020
Smart To-Do: Automatic Generation of To-Do Items from Emails
ACL 2020
Uncertainty-aware Self-training for Few-shot Text Classification
NeurIPS 2020
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models
ACL 2020
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference
NAACL 2019
STANCY: Stance Classification Based on Consistency Cues
EMNLP 2019
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
EMNLP 2018
Sentiment Aggregation using ConceptNet Ontology
IJCNLP 2013
Sentiment Analysis in Twitter with Lightweight Discourse Analysis
COLING 2012
YouCat: Weakly Supervised Youtube Video Categorization System from Meta Data & User Comments using WordNet & Wikipedia
COLING 2012