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We introduce KALL-E, a novel autoregressive (AR) language model for text-to-speech (TTS) synthesis that operates by predicting the next distribution of continuous speech frames. Unlike existing methods, KALL-E directly models the continuous…

Audio and Speech Processing · Electrical Eng. & Systems 2025-09-18 Kangxiang Xia , Xinfa Zhu , Jixun Yao , Wenjie Tian , Wenhao Li , Lei Xie

Partial evaluation (PE) is a powerful and general program optimization technique with many successful applications. However, it has never been investigated in the context of expressive rule-based languages like Maude, CafeOBJ, OBJ, ASF+SDF,…

Programming Languages · Computer Science 2016-08-12 Maria Alpuente , Angel Cuenca , Santiago Escobar , Jose Meseguer

Accumulated Local Effect (ALE) is a method for accurately estimating feature effects, overcoming fundamental failure modes of previously-existed methods, such as Partial Dependence Plots. However, ALE's approximation, i.e. the method for…

Machine Learning · Computer Science 2022-10-11 Vasilis Gkolemis , Theodore Dalamagas , Christos Diou

Type systems designed for information-flow control commonly use a program-counter label to track the sensitivity of the context and rule out data leakage arising from effectful computation in a sensitive context. Currently, type-system…

Programming Languages · Computer Science 2021-01-14 Andrew K. Hirsch , Ethan Cecchetti

Object-oriented programming languages such as Java and Objective C have become popular for implementing agent-based and other object-based simulations since objects in those languages can {\em reflect} (i.e. make runtime queries of an…

Programming Languages · Computer Science 2007-05-23 Duraid Madina , Russell K. Standish

Effect systems are lightweight extensions to type systems that can verify a wide range of important properties with modest developer burden. But our general understanding of effect systems is limited primarily to systems where the order of…

Programming Languages · Computer Science 2021-07-16 Colin S. Gordon

Large language models (LLMs) have demonstrated high performance on tasks expressed in natural language, particularly in zero- or few-shot settings. These are typically framed as supervised (e.g., classification) or unsupervised (e.g.,…

Computation and Language · Computer Science 2026-02-27 Yarik Menchaca Resendiz , Roman Klinger

There is often a sort of a protocol associated to each class, stating when and how certain methods should be called. Given that this protocol is, if at all, described in the documentation accompanying the class, current mainstream…

Programming Languages · Computer Science 2011-10-20 Joana Campos , Vasco T. Vasconcelos

Programming languages are expected to support programmer's effort to structure program code. The ML module system, object systems and mixins are good examples of language constructs promoting modular programming. Among the three, mixins can…

Programming Languages · Computer Science 2009-08-26 Keiko Nakata

Type and effect systems are a tool to analyse statically the behaviour of programs with effects. We present a proof based on the so called reducibility candidates that a suitable stratification of the type and effect system entails the…

Logic in Computer Science · Computer Science 2010-07-01 Roberto Amadio

As more non-AI experts use complex AI systems for daily tasks, there has been an increasing effort to develop methods that produce explanations of AI decision making that are understandable by non-AI experts. Towards this effort, leveraging…

Machine Learning · Computer Science 2023-11-13 Devleena Das , Sonia Chernova , Been Kim

Algebraic effects and handlers are a mechanism to structure programs with computational effects in a modular way. They are recently gaining popularity and being adopted in practical languages, such as OCaml. Meanwhile, there has been…

Programming Languages · Computer Science 2023-11-20 Fuga Kawamata , Hiroshi Unno , Taro Sekiyama , Tachio Terauchi

Recent advances in programming languages study and design have established a standard way of grounding computational systems representation in category theory. These formal results led to a better understanding of issues of control and…

Artificial Intelligence · Computer Science 2007-05-23 Jean-Marie Chauvet

Machine learning systems are ubiquitous in various kinds of digital applications and have a huge impact on our everyday life. But a lack of explainability and interpretability of such systems hinders meaningful participation by people,…

Machine Learning · Computer Science 2019-07-12 Christoph Kinkeldey , Claudia Müller-Birn , Tom Gülenman , Jesse Josua Benjamin , Aaron Halfaker

FLUX is a programming method for the design of agents that reason logically about their actions and sensor information in the presence of incomplete knowledge. The core of FLUX is a system of Constraint Handling Rules, which enables agents…

Artificial Intelligence · Computer Science 2007-05-23 Michael Thielscher

Metaprogramming and effect handlers interact in unexpected, and sometimes undesirable, ways. One example is scope extrusion: the generation of ill-scoped code. Scope extrusion can either be preemptively prevented, via static type systems,…

Programming Languages · Computer Science 2026-01-27 Michael Lee , Ningning Xie , Oleg Kiselyov , Jeremy Yallop

Cue phrases may be used in a discourse sense to explicitly signal discourse structure, but also in a sentential sense to convey semantic rather than structural information. Correctly classifying cue phrases as discourse or sentential is…

Artificial Intelligence · Computer Science 2008-02-03 D. J. Litman

Cue phrases may be used in a discourse sense to explicitly signal discourse structure, but also in a sentential sense to convey semantic rather than structural information. Correctly classifying cue phrases as discourse or sentential is…

cmp-lg · Computer Science 2008-02-03 Diane J. Litman

We introduce a new preference-based framework for conditional treatment effect estimation and policy learning, built on the Conditional Preference-based Treatment Effect (CPTE). CPTE requires only that outcomes be ranked under a preference…

Machine Learning · Statistics 2026-02-04 Dovid Parnas , Mathieu Even , Julie Josse , Uri Shalit

Building on the classroom framework in Heath et al. (2025), this paper proposes FLARE v2 as a recursive, semiotically informed account of how program meaning can be described across abstraction scales in common teaching languages. It…

Computers and Society · Computer Science 2025-12-17 Justin Heath
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