research
∙
08/19/2023
Large Language Models as Zero-Shot Conversational Recommenders
In this paper, we present empirical studies on conversational recommenda...
share
research
∙
05/24/2023
Aligning Language Models to User Opinions
An important aspect of developing LLMs that interact with humans is to a...
research
∙
03/30/2023
Self-Refine: Iterative Refinement with Self-Feedback
Like people, LLMs do not always generate the best text for a given gener...
research
∙
10/14/2022
Controlling Bias Exposure for Fair Interpretable Predictions
Recent work on reducing bias in NLP models usually focuses on protecting...
research
∙
10/14/2022
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions
Debiasing methods in NLP models traditionally focus on isolating informa...
research
∙
09/12/2022
On Faithfulness and Coherence of Language Explanations for Recommendation Systems
Reviews contain rich information about product characteristics and user ...
research
∙
09/12/2022
Factual and Informative Review Generation for Explainable Recommendation
Recent models can generate fluent and grammatical synthetic reviews whil...
research
∙
03/22/2022
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection
A limitation of current neural dialog models is that they tend to suffer...
research
∙
12/09/2021
Self-Supervised Bot Play for Conversational Recommendation with Justifications
Conversational recommender systems offer the promise of interactive, eng...
research
∙
09/24/2021
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding
Written language carries explicit and implicit biases that can distract ...
research
∙
06/25/2021
Rationale-Inspired Natural Language Explanations with Commonsense
Explainable machine learning models primarily justify predicted labels u...
research
∙
06/15/2021
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories
Humans often refer to personal narratives, life experiences, and events ...
research
∙
04/14/2021
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge
The ability to generate clarification questions i.e., questions that ide...
research
∙
02/02/2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
research
∙
10/07/2020
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions
Existing persona-grounded dialog models often fail to capture simple imp...
research
∙
04/07/2020
Interview: A Large-Scale Open-Source Corpus of Media Dialog
Existing conversational datasets consist either of written proxies for d...
research
∙
03/10/2020
ReZero is All You Need: Fast Convergence at Large Depth
Deep networks have enabled significant performance gains across domains,...
research
∙
08/31/2019
Generating Personalized Recipes from Historical User Preferences
Existing approaches to recipe generation are unable to create recipes fo...
research
∙
08/26/2019
Improving Neural Story Generation by Targeted Common Sense Grounding
Stories generated with neural language models have shown promise in gram...
research
∙
09/06/2018
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit
We propose a post-OCR text correction approach for digitising texts in R...
research
∙
03/29/2018
Deep Recurrent Neural Networks for Product Attribute Extraction in eCommerce
Extracting accurate attribute qualities from product titles is a vital c...
research
∙
10/16/2016
Fault Detection Engine in Intelligent Predictive Analytics Platform for DCIM
With the advancement of huge data generation and data handling capabilit...
research
∙
03/28/2016
