Siamak Shakeri | DeepAI

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∙ 06/06/2023

Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks

Despite readily memorizing world knowledge about entities, pre-trained l...

3 Kanishka Misra, et al. ∙

∙ 05/29/2023

Brainformers: Trading Simplicity for Efficiency

Transformers are central to recent successes in natural language process...

0 Yanqi Zhou, et al. ∙

∙ 02/26/2023

Generative Models for 3D Point Clouds

Point clouds are rich geometric data structures, where their three dimen...

0 Lingjie Kong, et al. ∙

∙ 02/11/2023

Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models

Despite recent progress, it has been difficult to prevent semantic hallu...

0 Renat Aksitov, et al. ∙

∙ 10/20/2022

Transcending Scaling Laws with 0.1

Scaling language models improves performance but comes with significant ...

2 Yi Tay, et al. ∙

∙ 10/10/2022

Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts

Soft prompts have been recently proposed as a tool for adapting large fr...

10 Cicero Nogueira dos Santos, et al. ∙

∙ 08/10/2022

Reducing Retraining by Recycling Parameter-Efficient Prompts

Parameter-efficient methods are able to use a single frozen pre-trained ...

0 Brian Lester, et al. ∙

∙ 10/16/2021

EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks

Encoder-decoder transformer architectures have become popular recently w...

0 Frederick Liu, et al. ∙

∙ 10/23/2020

Large Scale Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training

Generating natural sentences from Knowledge Graph (KG) triples, known as...

0 Oshin Agarwal, et al. ∙

∙ 10/22/2020

Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension

We propose a simple method to generate large amounts of multilingual que...

0 Siamak Shakeri, et al. ∙

∙ 10/12/2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems

We propose an end-to-end approach for synthetic QA data generation. Our ...

0 Siamak Shakeri, et al. ∙

∙ 09/22/2020

Embedding-based Zero-shot Retrieval through Query Generation

Passage retrieval addresses the problem of locating relevant passages, u...

0 Davis Liang, et al. ∙

∙ 01/10/2020

TableQnA: Answering List Intent Queries With Web Tables

The web contains a vast corpus of HTML tables. They can be used to provi...

4 Kaushik Chakrabarti, et al. ∙

∙ 01/10/2020

Open Domain Question Answering Using Web Tables

Tables extracted from web documents can be used to directly answer many ...

0 Kaushik Chakrabarti, et al. ∙

∙ 11/27/2019

Label Dependent Deep Variational Paraphrase Generation

Generating paraphrases that are lexically similar but semantically diffe...

0 Siamak Shakeri, et al. ∙

∙ 11/11/2019

Knowledge Distillation in Document Retrieval

Complex deep learning models now achieve state of the art performance fo...

0 Siamak Shakeri, et al. ∙

∙ 10/30/2018

Differentiable Greedy Networks

Optimal selection of a subset of items from a given set is a hard proble...

0 Thomas Powers, et al. ∙

∙ 09/28/2018

Direct optimization of F-measure for retrieval-based personal question answering

Recent advances in spoken language technologies and the introduction of ...

0 Rasool Fakoor, et al. ∙

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