565 citations · 913 across the 23 of their papers we have counts for
24 papers
BM25 Query Augmentation Learned End-to-End
Xiaoyin Chen, Sam Wiseman
Given BM25's enduring competitiveness as an information retrieval baseline, we investigate to what extent it can be even further improved by augmenting and re-weighting its sparse…
Approximating CKY with Transformers
Ghazal Khalighinejad, Ollie Liu, Sam Wiseman
We investigate the ability of transformer models to approximate the CKY algorithm, using them to directly predict a sentence's parse and thus avoid the CKY algorithm's cubic depend…
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…
On Generalization in Coreference Resolution
Shubham Toshniwal, Patrick Xia, Sam Wiseman +2
While coreference resolution is defined independently of dataset domain, most models for performing coreference resolution do not transfer well to unseen domains. We consolidate a…
Chess as a Testbed for Language Model State Tracking
Shubham Toshniwal, Sam Wiseman, Karen Livescu +1
Transformer language models have made tremendous strides in natural language understanding tasks. However, the complexity of natural language makes it challenging to ascertain how…
Data-to-text Generation by Splicing Together Nearest Neighbors
Sam Wiseman, Arturs Backurs, Karl Stratos
We propose to tackle data-to-text generation tasks by directly splicing together retrieved segments of text from "neighbor" source-target pairs. Unlike recent work that conditions…