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P. Talukdar

41 papers hereh-index 459.8k citations128 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author10
  • last author29

Across the 39 of 41 papers where every author was matched, so the position is known.

fields
  • cs.CL26
  • cs.LG9
  • cond-mat.mtrl-sci1
  • cs.AI1
  • cs.DB1
  • cs.IR1
same name
  • P. Talukdar — 9 papers, h 3
  • P. Talukdar — 2 papers, h 34

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092024
most citedMuRIL: Multilingual Representations for Indian Languages

160 citations · 459 across the 27 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.RO2020

Spatial Reasoning from Natural Language Instructions for Robot Manipulation

Sagar Gubbi Venkatesh, Anirban Biswas, Raviteja Upadrashta +3

Robots that can manipulate objects in unstructured environments and collaborate with humans can benefit immensely by understanding natural language. We propose a pipelined architec…

cs.CL2020

NILE : Natural Language Inference with Faithful Natural Language Explanations

Sawan Kumar, Partha Talukdar

The recent growth in the popularity and success of deep learning models on NLP classification tasks has accompanied the need for generating some form of natural language explanatio…

cs.CL2020★ 1 cited

P-SIF: Document Embeddings Using Partition Averaging

Vivek Gupta, Ankit Saw, Pegah Nokhiz +3

Simple weighted averaging of word vectors often yields effective representations for sentences which outperform sophisticated seq2seq neural models in many tasks. While it is desir…

cs.CL2020

Syntax-guided Controlled Generation of Paraphrases

Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli +1

Given a sentence (e.g., "I like mangoes") and a constraint (e.g., sentiment flip), the goal of controlled text generation is to produce a sentence that adapts the input sentence to…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.