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08/17/2023
Exploring Demonstration Ensembling for In-context Learning
In-context learning (ICL) operates by showing language models (LMs) exam...
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05/24/2023
Discriminator-Guided Multi-step Reasoning with Language Models
In the context of multi-step reasoning, language models (LMs) probabilit...
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03/16/2023
A Picture is Worth a Thousand Words: Language Models Plan from Pixels
Planning is an important capability of artificial agents that perform lo...
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02/17/2023
Unsupervised Task Graph Generation from Instructional Video Transcripts
This work explores the problem of generating task graphs of real-world a...
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02/17/2023
Multimodal Subtask Graph Generation from Instructional Videos
Real-world tasks consist of multiple inter-dependent subtasks (e.g., a d...
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02/07/2023
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
Recently, Language Models (LMs) instruction-tuned on multiple tasks, als...
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10/04/2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Pretrained Language Models (LMs) memorize a vast amount of knowledge dur...
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05/28/2022
Few-shot Subgoal Planning with Language Models
Pre-trained large language models have shown successful progress in many...
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05/25/2022
LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA
We study unsupervised multi-hop reranking for multi-hop QA (MQA) with op...
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12/17/2020
Few-shot Sequence Learning with Transformers
Few-shot algorithms aim at learning new tasks provided only a handful of...
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06/18/2019
Zero-Shot Entity Linking by Reading Entity Descriptions
We present the zero-shot entity linking task, where mentions must be lin...
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11/03/2018
Content preserving text generation with attribute controls
In this work, we address the problem of modifying textual attributes of ...
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03/07/2018
An efficient framework for learning sentence representations
In this work we propose a simple and efficient framework for learning se...
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11/08/2016
Sentence Ordering and Coherence Modeling using Recurrent Neural Networks
Modeling the structure of coherent texts is a key NLP problem. The task ...
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11/08/2016
Sentence Ordering using Recurrent Neural Networks
Modeling the structure of coherent texts is a task of great importance i...
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05/17/2016
