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05/17/2023
Can Language Models Solve Graph Problems in Natural Language?
Large language models (LLMs) are increasingly adopted for a variety of t...
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05/17/2023
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge
Large language models (LLMs) are increasingly adopted for knowledge-inte...
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10/14/2022
PCFG-based Natural Language Interface Improves Generalization for Controlled Text Generation
Existing work on controlled text generation (CTG) assumes a control inte...
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03/02/2022
Controlling the Focus of Pretrained Language Generation Models
The finetuning of pretrained transformer-based language generation model...
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10/13/2021
Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework
Latent-space interpolation is commonly used to demonstrate the generaliz...
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09/06/2021
An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models
Prompt-based knowledge probing for 1-hop relations has been used to meas...
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01/18/2021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
In this work, we explore joint energy-based model (EBM) training during ...
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09/15/2020
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation
This work studies the widely adopted ancestral sampling algorithms for a...
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08/20/2020
Constructing a Knowledge Graph from Unstructured Documents without External Alignment
Knowledge graphs (KGs) are relevant to many NLP tasks, but building a re...
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10/16/2019
Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models
In this work, we study how the large-scale pretrain-finetune framework c...
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05/28/2019
Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition
We provide a theoretical explanation for the fast convergence of gradien...
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05/25/2019
Quantifying Exposure Bias for Neural Language Generation
The exposure bias problem refers to the training-inference discrepancy c...
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03/06/2019
Negative Training for Neural Dialogue Response Generation
Although deep learning models have brought tremendous advancements to th...
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09/11/2018
Detecting egregious responses in neural sequence-to-sequence models
In this work, we attempt to answer a critical question: whether there ex...
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02/19/2016