research
∙
07/20/2023
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
Evaluation of Large Language Models (LLMs) is challenging because aligni...
share
research
∙
06/12/2023
Gradient Ascent Post-training Enhances Language Model Generalization
In this work, we empirically show that updating pretrained LMs (350M, 1....
research
∙
05/23/2023
Aligning Large Language Models through Synthetic Feedback
Aligning large language models (LLMs) to human values has become increas...
research
∙
01/27/2023
Semi-Parametric Video-Grounded Text Generation
Efficient video-language modeling should consider the computational cost...
research
∙
12/20/2022
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?
Task-oriented dialogue (TOD) systems are mainly based on the slot-fillin...
research
∙
10/17/2022
Keep Me Updated! Memory Management in Long-term Conversations
Remembering important information from the past and continuing to talk a...
research
∙
05/25/2022
Towards More Realistic Generation of Information-Seeking Conversations
In this paper, we introduce a novel framework SimSeek (simulating inform...
research
∙
05/25/2022
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
Visual dialog (VisDial) is a task of answering a sequence of questions g...
research
∙
04/30/2022
Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models
Recent open-domain dialogue models have brought numerous breakthroughs. ...
research
∙
04/28/2022
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
Many recent studies on large-scale language models have reported success...
research
∙
02/15/2022
Saving Dense Retriever from Shortcut Dependency in Conversational Search
In conversational search (CS), it needs holistic understanding over conv...
research
∙
09/15/2021
Can Language Models be Biomedical Knowledge Bases?
Pre-trained language models (LMs) have become ubiquitous in solving vari...
research
∙
05/30/2021
NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
We propose NeuralWOZ, a novel dialogue collection framework that uses mo...
research
∙
05/20/2021
KLUE: Korean Language Understanding Evaluation
We introduce Korean Language Understanding Evaluation (KLUE) benchmark. ...
research
∙
11/10/2019
Efficient Dialogue State Tracking by Selectively Overwriting Memory
Recent works in dialogue state tracking (DST) focus on an open vocabular...
research
∙
01/25/2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Biomedical text mining is becoming increasingly important as the number ...
research
∙
01/25/2019
BioBERT: pre-trained biomedical language representation model for biomedical text mining
Biomedical text mining has become more important than ever as the number...
research
∙
12/01/2018