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Web Question Answering with Neurosymbolic Program Synthesis 2021

Web Question Answering with Neurosymbolic Program Synthesis

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42nd acm sigplan International conference on programming language design and implementation (pldi)

作者： Chen, Qiaochu Lamoreaux, Aaron Wang, Xinyu Durrett, Greg Bastani, Osbert Dillig, Isil Univ Texas Austin Austin TX 78712 USA Univ Michigan Ann Arbor MI 48109 USA Univ Penn Philadelphia PA 19104 USA

ISBN: (纸本)9781450383912

In this paper, we propose a new technique based on program synthesis for extracting information from webpages. Given a natural language query and a few labeled webpages, our method synthesizes a program that can be used to extract similar types of information from other unlabeled webpages. To handle websites with diverse structure, our approach employs a neurosymbolic DSL that incorporates both neural NLP models as well as standard language constructs for tree navigation and string manipulation. We also propose an optimal synthesis algorithm that generates all DSL programs that achieve optimal F-1 score on the training examples. Our synthesis technique is compositional, prunes the search space by exploiting a monotonicity property of the DSL, and uses transductive learning to select programs with good generalization power. We have implemented these ideas in a new tool called WEBQA and evaluate it on 25 different tasks across multiple domains. Our experiments show that WEBQA significantly outperforms existing tools such as state-of-the-art question answering models and wrapper induction systems.

关键词： Program Synthesis programming by Example Web Information Extraction

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Task Parallel Assembly language for Uncompromising Parallelism 2021

Task Parallel Assembly Language for Uncompromising Paralleli...

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42nd acm sigplan International conference on programming language design and implementation (pldi)

作者： Rainey, Mike Newton, Ryan R. Hale, Kyle Hardavellas, Nikos Campanoni, Simone Dinda, Peter Acar, Umut A. Carnegie Mellon Univ Pittsburgh PA 15213 USA Facebook New York NY USA IIT Chicago IL 60616 USA Northwestern Univ Chicago IL 60611 USA

ISBN: (纸本)9781450383912

Achieving parallel performance and scalability involves making compromises between parallel and sequential computation. If not contained, the overheads of parallelism can easily outweigh its benefits, sometimes by orders of magnitude. Today, we expect programmers to implement this compromise by optimizing their code manually. This process is labor intensive, requires deep expertise, and reduces code quality. Recent work on heartbeat scheduling shows a promising approach that manifests the potentially vast amounts of available, latent parallelism, at a regular rate, based on even beats in time. The idea is to amortize the overheads of parallelism over the useful work performed between the beats. Heartbeat scheduling is promising in theory, but the reality is complicated: it has no known practical implementation. In this paper, we propose a practical approach to heartbeat scheduling that involves equipping the assembly language with a small set of primitives. These primitives leverage existing kernel and hardware support for interrupts to allow parallelism to remain latent, until a heartbeat, when it can be manifested with low cost. Our Task Parallel Assembly language (TPAL) is a compact, RISC-like assembly language. We specify TPAL through an abstract machine and implement the abstract machine as compiler transformations for C/C++ code and a specialized run-time system. We present an evaluation on both the Linux and the Nautilus kernels, considering a range of heartbeat interrupt mechanisms. The evaluation shows that TPAL can dramatically reduce the overheads of parallelism without compromising scalability.

关键词： parallel programming languages granularity control

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Sound Probabilistic Inference via Guide Types 2021

Sound Probabilistic Inference via Guide Types

引用

42nd acm sigplan International conference on programming language design and implementation (pldi)

作者： Wang, Di Hoffmann, Jan Reps, Thomas Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Wisconsin Madison WI 53706 USA

ISBN: (纸本)9781450383912

Probabilistic programming languages aim to describe and automate Bayesian modeling and inference. Modern languages support programmable inference, which allows users to customize inference algorithms by incorporating guide programs to improve inference performance. For Bayesian inference to be sound, guide programs must be compatible with model programs. One pervasive but challenging condition for model-guide compatibility is absolute continuity, which requires that the model and guide programs define probability distributions with the same support. This paper presents a new probabilistic programming language that guarantees absolute continuity, and features general programming constructs, such as branching and recursion. Model and guide programs are implemented as coroutines that communicate with each other to synchronize the set of random variables they sample during their execution. Novel guide types describe and enforce communication protocols between coroutines. If the model and guide are well-typed using the same protocol, then they are guaranteed to enjoy absolute continuity. An efficient algorithm infers guide types from code so that users do not have to specify the types. The new programming language is evaluated with an implementation that includes the type-inference algorithm and a prototype compiler that targets Pyro. Experiments show that our language is capable of expressing a variety of probabilistic models with nontrivial control flow and recursion, and that the coroutine-based computation does not introduce significant overhead in actual Bayesian inference.

关键词： Probabilistic programming Bayesian inference type systems coroutines

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Wire Sorts: A language Abstraction for Safe Hardware Composition 2021

Wire Sorts: A Language Abstraction for Safe Hardware Composi...

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42nd acm sigplan International conference on programming language design and implementation (pldi)

作者： Christensen, Michael Sherwood, Timothy Balkind, Jonathan Hardekopf, Ben Univ Calif Santa Barbara Dept Comp Sci Santa Barbara CA 93106 USA

ISBN: (纸本)9781450383912

Effective digital hardware design fundamentally requires decomposing a design into a set of interconnected modules, each a distinct unit of computation and state. However, naively connecting hardware modules leads to real-world pathological cases which are surprisingly far from obvious when looking at the interfaces alone and which are very difficult to debug after synthesis. We show for the first time that it is possible to soundly abstract even complex combinational dependencies of arbitrary hardware modules through the assignment of IO ports to one of four new sorts which we call: to-sync, to-port, from-sync, and from-port. This new taxonomy, and the reasoning it enables, facilitates modularity by escalating problematic aspects of module input/output interaction to the language-level interface specification. We formalize and prove the soundness of our new wire sorts, implement them in a practical hardware description language, and demonstrate they can be applied and even inferred automatically at scale. Through an examination of the BaseJump STL, the OpenPiton manycore research platform, and a complete RISC-V implementation, we find that even on our biggest design containing 1.5 million primitive gates, analysis takes less than 31 seconds;that across 172 unique modules analyzed, the inferred sorts are widely distributed across our taxonomy;and that by using wire sorts, our tool is 2.6-33.9x faster at finding loops than standard synthesis-time cycle detection.

关键词： hardware description languages modules composition

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Multi-language static code analysis on the LARA framework 10

Multi-language static code analysis on the LARA framework

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10th acm sigplan International Workshop on the State Of the Art in Program Analysis, SOAP 2021, co-located with the 42nd acm sigplan International conference on programming language design and implementation, pldi 2021

作者： Teixeira, Gil Bispo, João Correia, Filipe F. Faculty of Engineering University of Porto Porto Portugal Faculty of Engineering University of Porto Inesc Tec Porto Portugal

ISBN: (纸本)9781450384681

We propose a mechanism to raise the abstraction level of source-code analysis and robustly support multiple languages. Built on top of the LARA framework, it allows sharing language specifications between LARA source-to-source compilers, and enables the mapping of a virtual AST over the nodes of ASTs provided by different, unrelated parsers. We use this approach to create a language specification for Object-Oriented (OO) languages and add support for three different LARA compilers. We evaluate it by implementing a library of 18 software metrics using this language specification and apply the metrics to source code in four programming languages (C, C++, Java, and JavaScript). We compare the results with other tools to evaluate the approach. © 2021 Owner/Author.

关键词： Object oriented programming

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iCoLa: A Compositional Meta-language with Support for Incremental language Development 15

iCoLa: A Compositional Meta-language with Support for Increm...

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15th International conference on Software language Engineering (SLE)

作者： Frolich, Damian van Binsbergen, L. Thomas Univ Amsterdam Informat Inst Amsterdam Netherlands

ISBN: (纸本)9781450399197

programming languages providing high-level abstractions can increase a programmers' productivity and the safety of a program. language-oriented programming is a paradigm in which domain-specific languages are developed to solve problems within specific domains with (high-level) abstractions relevant to those domains. However, language development involves complex design and engineering processes. These processes can be simplified by reusing (parts of) existing languages and by offering language-parametric tooling. In this paper we present iCoLa, a meta-language supporting incremental (meta-)programming based on reusable components. In our implementation of iCoLa, languages are firstclass citizens, providing the full power of the host-language (Haskell) to compose and manipulate languages. We demonstrate iCoLa through the construction of the Imp, SIMPLE, and MiniJava languages via the composition and restriction of language fragments and demonstrate the variability of our approach through the construction of several languages using a fixed-set of operators.

关键词： language composition prototyping domain-specific languages meta-language funcons

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Filling Typed Holes with Live GUIs 2021

Filling Typed Holes with Live GUIs

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42nd acm sigplan International conference on programming language design and implementation (pldi)

作者： Omar, Cyrus Moon, David Blinn, Andrew Voysey, Ian Collins, Nick Chugh, Ravi Univ Michigan Ann Arbor MI 48109 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Chicago Chicago IL 60637 USA

ISBN: (纸本)9781450383912

Text editing is powerful, but some types of expressions are more naturally represented and manipulated graphically. Examples include expressions that compute colors, music, animations, tabular data, plots, diagrams, and other domain-specific data structures. This paper introduces live literals, or livelits, which allow clients to fill holes of types like these by directly manipulating a user-defined GUI embedded persistently into code. Uniquely, livelits are compositional: a livelit GUI can itself embed spliced expressions, which are typed, lexically scoped, and can in turn embed other livelits. Livelits are also uniquely live: a livelit can provide continuous feedback about the run-time implications of the client's choices even when splices mention bound variables, because the system continuously gathers closures associated with the hole that the livelit is filling. We integrate livelits into Hazel, a live hole-driven programming environment, and describe case studies that exercise these novel capabilities. We then define a simply typed livelit calculus, which specifies how livelits operate as live graphical macros. The metatheory of macro expansion has been mechanized in Agda.

关键词： live programming macros typed holes GUIs

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language Transformations in the Classroom 28

Language Transformations in the Classroom

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43rd acm sigplan International conference on programming language design and implementation (pldi)

作者： Cimini, Matteo Mourad, Benjamin Univ Massachusetts Lowell Lowell MA 01854 USA

language transformations are algorithms that take a language specification in input, and return the language specification modified. language transformations are useful for automatically adding features such as subtyping to programming languages (PLs), and for automatically deriving abstract machines. In this paper, we set forth the thesis that teaching programming languages features with the help of language transformations, in addition to the planned material, can be beneficial for students to help them deepen their understanding of the features being taught. We have conducted a study on integrating language transformations into an undergraduate PL course. We describe our study, the material that we have taught, and the exam submitted to students, and we present the results from this study. Although we refrain from drawing general conclusions on the effectiveness of language transformations, this paper offers encouraging data. We also offer this paper to inspire similar studies.

关键词： Students

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signatr: A Data-Driven Fuzzing Tool for R 15

signatr: A Data-Driven Fuzzing Tool for R

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15th International conference on Software language Engineering (SLE)

作者： Turcotte, Alexi Donat-Bouillud, Pierre Krikava, Filip Vitek, Jan Northeastern Univ Boston MA 02115 USA Czech Tech Univ Prague Czech Republic

ISBN: (纸本)9781450399197

The fast-and-loose, permissive semantics of dynamic programming languages limit the power of static analyses. For that reason, soundness is often traded for precision through dynamic program analysis. Dynamic analysis is only as good as the available runnable code, and relying solely on test suites is fraught as they do not cover the full gamut of possible behaviors. Fuzzing is an approach for automatically exercising code, and could be used to obtain more runnable code. However, the shape of user-defined data in dynamic languages is difficult to intuit, limiting a fuzzer's reach. We propose a feedback-driven blackbox fuzzing approach which draws inputs from a database of values recorded from existing code. We implement this approach in a tool called signatr for the R language. We present the insights of its design and implementation, and assess signatr's ability to uncover new behaviors by fuzzing 4,829 R functions from 100 R packages, revealing 1,195,184 new signatures.

关键词： R fuzzing dynamic program analysis dynamic programming languages

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Gleipnir: Toward Practical Error Analysis for Quantum Programs 2021

Gleipnir: Toward Practical Error Analysis for Quantum Progra...

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42nd acm sigplan International conference on programming language design and implementation (pldi)

作者： Tao, Runzhou Shi, Yunong Yao, Jianan Hui, John Chong, Frederic T. Gu, Ronghui Columbia Univ New York NY 10027 USA Univ Chicago Chicago IL 60637 USA Amazon New York NY USA Supertech Chicago IL USA Quantum Circuits Inc Chicago IL USA

ISBN: (纸本)9781450383912

Practical error analysis is essential for the design, optimization, and evaluation of Noisy Intermediate-Scale Quantum(NISQ) computing. However, bounding errors in quantum programs is a grand challenge, because the effects of quantum errors depend on exponentially large quantum states. In this work, we present Gleipnir, a novel methodology toward practically computing verified error bounds in quantum programs. Gleipnir introduces the ((rho) over cap,delta)-diamond norm, an error metric constrained by a quantum predicate consisting of the approximate state (rho) over cap and its distance d to the ideal state rho?. This predicate ((rho) over cap,delta) can be computed adaptively using tensor networks based on the Matrix Product States. Gleipnir features a lightweight logic for reasoning about error bounds in noisy quantum programs, based on the ((rho) over cap,delta)-diamond norm metric. Our experimental results show that Gleipnir is able to efficiently generate tight error bounds for real-world quantum programs with 10 to 100 qubits, and can be used to evaluate the error mitigation performance of quantum compiler transformations.

关键词： quantum programming error analysis approximate computing

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