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Researcher profile

Edward Grefenstette

8 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Latent Predictor Networks for Code Generation

    2016 · arXiv (Cornell University)

    Many language generation tasks require the production of text conditioned on both structured and unstructured inputs. We present a novel neural network architecture which generates an output sequence conditioned on an arbitrary number of input …

  2. Analysing Mathematical Reasoning Abilities of Neural Models

    2019 · arXiv (Cornell University)

    Mathematical reasoning---a core ability within human intelligence---presents some unique challenges as a domain: we do not come to understand and solve mathematical problems primarily on the back of experience and evidence, but on the basis …

  3. Replay-Guided Adversarial Environment Design

    2021 · arXiv (Cornell University)

    Deep reinforcement learning (RL) agents may successfully generalize to new settings if trained on an appropriately diverse set of environment and task configurations. Unsupervised Environment Design (UED) is a promising self-supervised RL paradigm, wherein the …

  4. Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models

    2024 · arXiv (Cornell University)

    The capabilities and limitations of Large Language Models have been sketched out in great detail in recent years, providing an intriguing yet conflicting picture. On the one hand, LLMs demonstrate a general ability to solve …

  5. Teaching Machines to Read and Comprehend

    2015 · arXiv (Cornell University)

    Teaching machines to read natural language documents remains an elusive challenge. Machine reading systems can be tested on their ability to answer questions posed on the contents of documents that they have seen, but until …

  6. Reasoning about Entailment with Neural Attention

    2015 · arXiv (Cornell University)

    While most approaches to automatically recognizing entailment relations have used classifiers employing hand engineered features derived from complex natural language processing pipelines, in practice their performance has been only slightly better than bag-of-word pair classifiers …

  7. Discovering Discrete Latent Topics with Neural Variational Inference

    2017 · arXiv (Cornell University)

    Topic models have been widely explored as probabilistic generative models of documents. Traditional inference methods have sought closed-form derivations for updating the models, however as the expressiveness of these models grows, so does the difficulty …

  8. The NarrativeQA Reading Comprehension Challenge

    2018 · Transactions of the Association for Computational Linguistics

    Reading comprehension (RC)—in contrast to information retrieval—requires integrating information and reasoning about events, entities, and their relations across a full document. Question answering is conventionally used to assess RC ability, in both artificial agents and …