Ashish Tiwari
where else to find them
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what they talk about
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where they keep going back
- OOPSLA3 editions2020–2022
all 4 in the filters
on a stage with
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who talks about the same things
- Arjun Radhakrishna10 talks
- Sumit Gulwani14 talks
- Vu Le9 talks
- Gustavo Soares9 talks
- Anders Miltner6 talks
- Shraddha Barke5 talks
| title | conference | date |
|---|---|---|
| Smart Search with RAG: Elasticsearch Meets Language Models | Great International Developer Summit 2024 | 2024-04-23 |
Shows how Elasticsearch becomes a RAG retriever: data chunks (demo uses chunk size 50) go into an index named gs_rag_demo, Elser generates tokens and… | ||
| Monitor Kubernetes cluster with Elastic | KCD Mumbai 2023 | 2023-06-17 |
Claims a single, centrally managed observability stack that ingests logs, metrics and traces from EKS/AKS/GKE or self‑managed clusters using an Elastic Agent… | ||
| FlashFill++: Scaling Programming by Example by Cutting to the Chase | POPL 2023 | 2023-01-15 |
FlashFill++ introduces cut functions, guarded DSLs, and middle-out synthesis to scale programming-by-example to a large DSL with date/time and numeric… | ||
| Overwatch: Learning Patterns in Code Edit Sequences | OOPSLA 2022 | 2022-12-05 |
Overwatch learns recurring edit sequences from IDE session traces by building fine-grained edit graphs, summarizing them into an edit quotient graph… | ||
| Multi-modal Program Inference: a Marriage of Pre-trained Language Models and Component-based Synthes | OOPSLA 2021 | 2021-10-17 |
NLX combines GPT-3 candidates with a component-based synthesizer to turn ambiguous English plus examples into precise code. It targets regexes and CSS… | ||
| Feedback-Driven Semi-supervised Synthesis of Program Transformations | OOPSLA 2020 | 2020-11-15 |
Semi-supervised synthesis combines input-output examples with extra unlabeled inputs (cursor locations and mined candidates) and uses anti-unification modulo… | ||
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