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09/14/2023
WASM-MUTATE: Fast and Effective Binary Diversification for WebAssembly
WebAssembly has is renowned for its efficiency and security in browser e...
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06/17/2023
GLIMMER: generalized late-interaction memory reranker
Memory-augmentation is a powerful approach for efficiently incorporating...
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01/25/2023
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute
Retrieval-augmented language models such as Fusion-in-Decoder are powerf...
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12/15/2022
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference
Fusion-in-Decoder (FiD) is a powerful retrieval-augmented language model...
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10/12/2021
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
Natural language understanding tasks such as open-domain question answer...
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06/02/2021
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network
We present an instance-based nearest neighbor approach to entity linking...
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05/28/2020
Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking
In this work, we present an entity linking model which combines a Transf...
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04/15/2020
Entities as Experts: Sparse Memory Access with Entity Supervision
We focus on the problem of capturing declarative knowledge in the learne...
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01/11/2020
Learning Cross-Context Entity Representations from Text
Language modeling tasks, in which words, or word-pieces, are predicted o...
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06/07/2019
Matching the Blanks: Distributional Similarity for Relation Learning
General purpose relation extractors, which can model arbitrary relations...
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05/14/2018
Large-Scale QA-SRL Parsing
We present a new large-scale corpus of Question-Answer driven Semantic R...
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05/09/2018
