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07/31/2023
HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution
The rise of large language models (LLMs) had a transformative impact on ...
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06/13/2023
Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard
BEIR is a benchmark dataset for zero-shot evaluation of information retr...
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05/11/2023
Evaluating Open-Domain Question Answering in the Era of Large Language Models
Lexical matching remains the de facto evaluation method for open-domain ...
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05/10/2023
Evaluating Embedding APIs for Information Retrieval
The ever-increasing size of language models curtails their widespread ac...
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04/03/2023
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval
The advent of multilingual language models has generated a resurgence of...
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04/22/2022
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue
The goal of information-seeking dialogue is to respond to seeker queries...
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03/17/2022
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation
Data Augmentation (DA) is known to improve the generalizability of deep ...
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05/28/2021
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax
In Natural Language Processing (NLP), finding data augmentation techniqu...
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04/06/2019
Evaluating Coherence in Dialogue Systems using Entailment
Evaluating open-domain dialogue systems is difficult due to the diversit...
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11/02/2018
Augmenting Neural Response Generation with Context-Aware Topical Attention
Sequence-to-Sequence (Seq2Seq) models have witnessed a notable success i...
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05/04/2018