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09/19/2023
Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Learnersourcing involves students generating and sharing learning resour...
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08/09/2023
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval
When provided with sufficient explanatory context, smaller Language Mode...
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08/02/2023
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
We equip a smaller Language Model to generalise to answering challenging...
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06/20/2023
Meerkat Behaviour Recognition Dataset
Recording animal behaviour is an important step in evaluating the well-b...
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05/31/2023
Large Language Models Are Not Abstract Reasoners
Large Language Models have shown tremendous performance on a large varie...
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05/21/2023
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text
Pre-trained large language model (LLM) is under exploration to perform N...
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05/05/2023
Neuromodulation Gated Transformer
We introduce a novel architecture, the Neuromodulation Gated Transformer...
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03/14/2023
Input-length-shortening and text generation via attention values
Identifying words that impact a task's performance more than others is a...
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02/16/2023
Learning Density-Based Correlated Equilibria for Markov Games
Correlated Equilibrium (CE) is a well-established solution concept that ...
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02/02/2023
Disentanglement of Latent Representations via Sparse Causal Interventions
The process of generating data such as images is controlled by independe...
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02/01/2023
A Survey of Methods, Challenges and Perspectives in Causality
The Causality field aims to find systematic methods for uncovering cause...
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11/15/2022
Rapid Connectionist Speaker Adaptation
We present SVCnet, a system for modelling speaker variability. Encoder N...
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09/14/2022
Prompt-based Conservation Learning for Multi-hop Question Answering
Multi-hop question answering (QA) requires reasoning over multiple docum...
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07/28/2022
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation
Combining deep learning with symbolic logic reasoning aims to capitalize...
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06/16/2022
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering
Effective multi-hop question answering (QA) requires reasoning over mult...
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03/23/2022
AbductionRules: Training Transformers to Explain Unexpected Inputs
Transformers have recently been shown to be capable of reliably performi...
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12/10/2021
Semantic Construction Grammar: Bridging the NL / Logic Divide
In this paper, we discuss Semantic Construction Grammar (SCG), a system ...
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11/19/2021
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions
Automated question quality rating (AQQR) aims to evaluate question quali...
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06/07/2021
Learning to Guide a Saturation-Based Theorem Prover
Traditional automated theorem provers have relied on manually tuned heur...
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11/05/2019
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies
Traditional first-order logic (FOL) reasoning systems usually rely on ma...
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03/12/2019
A Sequential Set Generation Method for Predicting Set-Valued Outputs
Consider a general machine learning setting where the output is a set of...
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01/09/2019
High Fidelity Vector Space Models of Structured Data
Machine learning systems regularly deal with structured data in real-wor...
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12/01/2018
Discrete Attacks and Submodular Optimization with Applications to Text Classification
Adversarial examples are carefully constructed modifications to an input...
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09/15/2018
Answering Science Exam Questions Using Query Rewriting with Background Knowledge
Open-domain question answering (QA) is an important problem in AI and NL...
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09/15/2018
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Natural Language Inference (NLI) is fundamental to many Natural Language...
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09/14/2018
Random Warping Series: A Random Features Method for Time-Series Embedding
Time series data analytics has been a problem of substantial interests f...
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06/01/2018
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
The recent work of Clark et al. introduces the AI2 Reasoning Challenge (...
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05/07/2018
Image Super-Resolution via Dual-State Recurrent Networks
Advances in image super-resolution (SR) have recently benefited signific...
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02/14/2018
D2KE: From Distance to Kernel and Embedding
For many machine learning problem settings, particularly with structured...
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01/04/2018
An Implementation of Back-Propagation Learning on GF11, a Large SIMD Parallel Computer
Current connectionist simulations require huge computational resources. ...
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10/05/2017
Dilated Recurrent Neural Networks
Learning with recurrent neural networks (RNNs) on long sequences is a no...
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03/14/2016