← Authors

Partha Talukdar

62 papers · 2012–2025 · 15 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (15) πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (85) 🌈 Renaissance Researcher (11) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (12) πŸ‘₯ Mega-Team (27) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (2) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (206) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (14) ⚑ Prolific Year (12) πŸ’Ž Century Club (62) ❓ The Questioner

Conferences

ACL (18) EMNLP (12) IJCNLP (7) AAAI (4) EACL (4) NAACL (4) AISTATS (3) COLING (2) ICLR (2) AACL (1) CONLL (1) IJCAI (1) INTERSPEECH (1) NIPS (1) SEMEVAL (1)

Top co-authors

Shikhar Vashishth (12) Tom Mitchell (6) Sawan Kumar (5) Apoorv Saxena (4) Nitish Gupta (4) Shachi Dave (4) Bidisha Samanta (4) Soumya Sanyal (4) Naganand Yadati (4) Madhav Nimishakavi (4)

Research topics

Linguistics (1)

Keywords

knowledge graph embedding (8) low-resource language (6) link prediction (6) cross-lingual transfer (5) graph convolutional network (5) question answering (5) temporal knowledge graph (4) semi-supervised learning (4) node classification (4) multilingual language model (4) knowledge graph (3) large language model (3) few-shot learning (3) machine translation (3) multilingual model (3) indic language (3) zero-shot learning (2) representation learning (2) transfer learning (2) bias detection (2)

Papers

SMOL: Professionally Translated Parallel Data for 115 Under-represented Languages EMNLP 2025
UGIF-DataSet: A New Dataset for Cross-lingual, Cross-modal Sequential actions on the UI NAACL 2024
LLM Augmented LLMs: Expanding Capabilities through Composition ICLR 2024
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages ACL 2024
Evaluating the Diversity, Equity, and Inclusion of NLP Technology: A Case Study for Indian Languages EACL 2023
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages EMNLP 2023
Self-Influence Guided Data Reweighting for Language Model Pre-training EMNLP 2023
Label Aware Speech Representation Learning For Language Identification INTERSPEECH 2023
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning ACL 2023
Evaluating Cross Lingual Transfer for Morphological Analysis: a Case Study of Indian Languages ACL 2023
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs EACL 2023
Bootstrapping Multilingual Semantic Parsers using Large Language Models EACL 2023
Salient Span Masking for Temporal Understanding EACL 2023
Re-contextualizing Fairness in NLP: The Case of India AACL 2022
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer NAACL 2022
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages ACL 2022
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings ACL 2022
Re-contextualizing Fairness in NLP: The Case of India IJCNLP 2022
Reordering Examples Helps during Priming-based Few-Shot Learning ACL 2021
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study ACL 2021
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study IJCNLP 2021
MergeDistill: Merging Language Models using Pre-trained Distillation IJCNLP 2021
Question Answering Over Temporal Knowledge Graphs IJCNLP 2021
Reordering Examples Helps during Priming-based Few-Shot Learning IJCNLP 2021
Question Answering Over Temporal Knowledge Graphs ACL 2021
MergeDistill: Merging Language Models using Pre-trained Distillation ACL 2021
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings ACL 2020
NILE : Natural Language Inference with Faithful Natural Language Explanations ACL 2020
Composition-based Multi-Relational Graph Convolutional Networks ICLR 2020
InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions AAAI 2020
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations AAAI 2020
P-SIF: Document Embeddings Using Partition Averaging AAAI 2020
A Re-evaluation of Knowledge Graph Completion Methods ACL 2020
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs NIPS 2019
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs AAAI 2019
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks ACL 2019
Relating Simple Sentence Representations in Deep Neural Networks and the Brain ACL 2019
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings ACL 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning AISTATS 2019
Lovasz Convolutional Networks AISTATS 2019
CaRe: Open Knowledge Graph Embeddings EMNLP 2019
Graph-based Deep Learning in Natural Language Processing EMNLP 2019
CaRe: Open Knowledge Graph Embeddings IJCNLP 2019
Graph-based Deep Learning in Natural Language Processing IJCNLP 2019
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation NAACL 2019
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding EMNLP 2018
Dating Documents using Graph Convolution Networks ACL 2018
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information EMNLP 2018
AD3: Attentive Deep Document Dater EMNLP 2018
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation ACL 2018
Towards Understanding the Geometry of Knowledge Graph Embeddings ACL 2018
ELDEN: Improved Entity Linking Using Densified Knowledge Graphs NAACL 2018
Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods EMNLP 2017
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs EMNLP 2017
Relation Schema Induction using Tensor Factorization with Side Information EMNLP 2016
AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand IJCAI 2015
Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases EMNLP 2014
Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch AISTATS 2014
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition CONLL 2013
Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding COLING 2012
Selecting Corpus-Semantic Models for Neurolinguistic Decoding SEMEVAL 2012
Metric Learning for Graph-Based Domain Adaptation COLING 2012