On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

Trend · papers per month

count % of corpus

6 results for “GEC”

Corpora Generation for Grammatical Error Correctioncs.CL

Two methods generate parallel data for GEC, improving neural models' performance.

problem Lack of parallel data for GEC.

method Two approaches to generate large parallel datasets from Wikipedia data.

result Neural GEC models trained on generated corpora perform similarly and surpass state-of-the-art.

GEC parallel data Wikipedia neural networks ensemble

2019-04-10abs ↗pdf ↗

Data Weighted Training Strategies for Grammatical Error Correctioncs.CL

Improved GEC models use scored data from large pretraining to outperform.

problem Addressing data sparsity in Grammatical Error Correction.

method Derive example-level scores from a smaller, higher-quality dataset and incorporate delta-log-perplexity into training schedules.

result Models trained on scored data achieve state-of-the-art results.

Grammatical Error Correction Data Sparsity Neural Machine Translation Delta-Log-Perplexity Training Schedules

2020-08-07abs ↗pdf ↗

GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyondcs.LG

Unified framework for efficient RL in MDP, POMDP, and PSR.

problem Sample efficient reinforcement learning under various decision-making frameworks.

method Proposed GEC complexity measure and a posterior sampling algorithm.

result Sample efficient learning achieved with sublinear regret bound in terms of GEC.

reinforcement learning sample efficiency MDP POMDP PSR

2022-11-03abs ↗pdf ↗

Posterior Sampling for Competitive RL: Function Approximation and Partial Observationcs.LG

The paper develops algorithms for competitive RL in partially observable MGs.

problem Challenges in reinforcement learning with function approximation and partial observability.

method Proposes posterior sampling methods for self-play and adversarial learning in zero-sum MGs.

result Developed algorithms achieve low regret bounds scaling sublinearly with GEC and episode number.

reinforcement learning competitive games posterior sampling function approximation partial observability

2023-10-30abs ↗pdf ↗

Weakly Supervised Grammatical Error Correction using Iterative Decodingcs.CL

We describe an approach to Grammatical Error Correction (GEC) that is effective at making use of models trained on large amounts of weakly supervised bitext. We train the Transformer sequence-to-sequence model on 4B tokens of Wikipedia revisions and employ an iterative decoding strategy that is tailored to the loosely-…

2018-10-31abs ↗pdf ↗

Expectation Consistent Approximate Inference: Generalizations and Convergencecs.IT

Approximations of loopy belief propagation, including expectation propagation and approximate message passing, have attracted considerable attention for probabilistic inference problems. This paper proposes and analyzes a generalization of Opper and Winther's expectation consistent (EC) approximate inference method. Th…

2016-02-25abs ↗pdf ↗