Ramakanth Pasunuru | DeepAI

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∙ 08/08/2023

Shepherd: A Critic for Language Model Generation

As large language models improve, there is increasing interest in techni...

0 Tianlu Wang, et al. ∙

∙ 12/22/2022

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Recent work has shown that fine-tuning large pre-trained language models...

0 Srinivasan Iyer, et al. ∙

∙ 12/19/2022

Training Trajectories of Language Models Across Scales

Scaling up language models has led to unprecedented performance gains, b...

0 Mengzhou Xia, et al. ∙

∙ 12/16/2022

MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation

Prompting large language models has enabled significant recent progress ...

6 Swarnadeep Saha, et al. ∙

∙ 11/25/2022

Complementary Explanations for Effective In-Context Learning

Large language models (LLMs) have exhibited remarkable capabilities in l...

0 Xi Ye, et al. ∙

∙ 05/03/2022

Improving In-Context Few-Shot Learning via Self-Supervised Training

Self-supervised pretraining has made few-shot learning possible for many...

1 Mingda Chen, et al. ∙

∙ 12/20/2021

Efficient Large Scale Language Modeling with Mixtures of Experts

Mixture of Experts layers (MoEs) enable efficient scaling of language mo...

10 Mikel Artetxe, et al. ∙

∙ 12/20/2021

Few-shot Learning with Multilingual Language Models

Large-scale autoregressive language models such as GPT-3 are few-shot le...

8 Xi Victoria Lin, et al. ∙

∙ 12/16/2021

A Proposition-Level Clustering Approach for Multi-Document Summarization

Text clustering methods were traditionally incorporated into multi-docum...

11 Ori Ernst, et al. ∙

∙ 10/03/2021

Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset

Keyphrase extraction has been comprehensively researched within the sing...

0 Ori Shapira, et al. ∙

∙ 09/23/2021

iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration

We introduce iFacetSum, a web application for exploring topical document...

2 Eran Hirsch, et al. ∙

∙ 03/02/2021

Dual Reinforcement-Based Specification Generation for Image De-Rendering

Advances in deep learning have led to promising progress in inferring gr...

8 Ramakanth Pasunuru, et al. ∙

∙ 03/02/2021

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization

The progress in Query-focused Multi-Document Summarization (QMDS) has be...

2 Ramakanth Pasunuru, et al. ∙

∙ 11/15/2020

DORB: Dynamically Optimizing Multiple Rewards with Bandits

Policy gradients-based reinforcement learning has proven to be a promisi...

4 Ramakanth Pasunuru, et al. ∙

∙ 09/17/2020

Evaluating Interactive Summarization: an Expansion-Based Framework

Allowing users to interact with multi-document summarizers is a promisin...

0 Ori Shapira, et al. ∙

∙ 09/01/2020

SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks

Multi-document summarization (MDS) is a challenging task, often decompos...

0 Ori Ernst, et al. ∙

∙ 01/13/2020

Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits

Domain adaptation performance of a learning algorithm on a target domain...

10 Han Guo, et al. ∙

∙ 06/12/2019

Continual and Multi-Task Architecture Search

Architecture search is the process of automatically learning the neural ...

0 Ramakanth Pasunuru, et al. ∙

∙ 04/11/2019

Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation

Conducting a manual evaluation is considered an essential part of summar...

0 Ori Shapira, et al. ∙

∙ 04/08/2019

AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning

Multi-task learning (MTL) has achieved success over a wide range of prob...

0 Han Guo, et al. ∙

∙ 09/12/2018

Game-Based Video-Context Dialogue

Current dialogue systems focus more on textual and speech context knowle...

0 Ramakanth Pasunuru, et al. ∙

∙ 06/19/2018

Dynamic Multi-Level Multi-Task Learning for Sentence Simplification

Sentence simplification aims to improve readability and understandabilit...

0 Han Guo, et al. ∙

∙ 05/28/2018

Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation

An accurate abstractive summary of a document should contain all its sal...

0 Han Guo, et al. ∙

∙ 04/17/2018

Multi-Reward Reinforced Summarization with Saliency and Entailment

Abstractive text summarization is the task of compressing and rewriting ...

0 Ramakanth Pasunuru, et al. ∙

∙ 08/07/2017

Reinforced Video Captioning with Entailment Rewards

Sequence-to-sequence models have shown promising improvements on the tem...

0 Ramakanth Pasunuru, et al. ∙

∙ 04/24/2017

Multi-Task Video Captioning with Video and Entailment Generation

Video captioning, the task of describing the content of a video, has see...

0 Ramakanth Pasunuru, et al. ∙

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