Partha Talukdar

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