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Early exiting allows instances to exit at different layers according to the estimation of difficulty. Previous works usually adopt heuristic metrics such as the entropy of internal outputs to measure instance difficulty, which suffers from…

Computation and Language · Computer Science 2022-03-04 Tianxiang Sun , Xiangyang Liu , Wei Zhu , Zhichao Geng , Lingling Wu , Yilong He , Yuan Ni , Guotong Xie , Xuanjing Huang , Xipeng Qiu

COOL is an Object-Oriented programming language used to teach compiler design in many undergraduate and graduate courses. Because most students are unfamiliar with the language and code editors and IDEs often lack the support for COOL,…

Programming Languages · Computer Science 2023-02-13 Linhan Li , ThanhVu Nguyen

Interactions and effect aliasing are among the fundamental concepts in experimental design. In this paper, some new insights and approaches are provided on these subjects. In the literature, the "de-aliasing" of aliased effects is deemed to…

Methodology · Statistics 2017-07-12 C. F. Jeff Wu

Controlled natural languages (CNLs) are effective languages for knowledge representation and reasoning. They are designed based on certain natural languages with restricted lexicon and grammar. CNLs are unambiguous and simple as opposed to…

Artificial Intelligence · Computer Science 2019-05-14 Tiantian Gao

Event extraction (EE) has considerably benefited from pre-trained language models (PLMs) by fine-tuning. However, existing pre-training methods have not involved modeling event characteristics, resulting in the developed EE models cannot…

Computation and Language · Computer Science 2021-06-01 Ziqi Wang , Xiaozhi Wang , Xu Han , Yankai Lin , Lei Hou , Zhiyuan Liu , Peng Li , Juanzi Li , Jie Zhou

The efficient exchange of information is an essential aspect of intelligent collective behavior. Event-triggered control and estimation achieve some efficiency by replacing continuous data exchange between agents with intermittent, or…

Systems and Control · Computer Science 2020-04-30 Friedrich Solowjow , Sebastian Trimpe

Recent advances in Large Language Models (LLMs) have spurred interest in designing LLM-based agents for tasks that involve interaction with human and artificial agents. This paper addresses a key aspect in the design of such agents:…

Machine Learning · Computer Science 2025-10-28 Eilam Shapira , Omer Madmon , Reut Apel , Moshe Tennenholtz , Roi Reichart

To react to unforeseen circumstances or amend abnormal situations in communication-centric systems, programmers are in charge of "undoing" the interactions which led to an undesired state. To assist this task, session-based languages can be…

Programming Languages · Computer Science 2025-01-15 Claudio Antares Mezzina , Francesco Tiezzi , Nobuko Yoshida

While LLMs exhibit impressive fluency and factual recall, they struggle with robust causal reasoning, often relying on spurious correlations and brittle patterns. Similarly, traditional Reinforcement Learning agents also lack causal…

Machine Learning · Computer Science 2025-09-26 Abi Aryan , Zac Liu

While reinforcement learning (RL) enhances their ability to plan and reason across retrieval steps, we identify a critical failure mode in this setting: Tool-Call Hacking. Unlike execution-based tools (e.g., code or math), whose effects are…

Artificial Intelligence · Computer Science 2026-01-26 SHengjie Ma , Chenlong Deng , Jiaxin Mao , Jiadeng Huang , Teng Wang , Junjie Wu , Changwang Zhang , Jun wang

Language models (LMs) can be directed to perform target tasks by using labeled examples or natural language prompts. But selecting examples or writing prompts for can be challenging--especially in tasks that involve unusual edge cases,…

Computation and Language · Computer Science 2023-10-19 Belinda Z. Li , Alex Tamkin , Noah Goodman , Jacob Andreas

Irregular codes are bottlenecked by memory and communication latency. Decoupled access/execute (DAE) is a common technique to tackle this problem. It relies on the compiler to separate memory address generation from the rest of the program,…

Performance · Computer Science 2025-01-24 Robert Szafarczyk , Syed Waqar Nabi , Wim Vanderbauwhede

PIE is a Prolog-embedded environment for automated reasoning on the basis of first-order logic. Its main focus is on formulas, as constituents of complex formalizations that are structured through formula macros, and as outputs of reasoning…

Logic in Computer Science · Computer Science 2020-05-12 Christoph Wernhard

It has been argued that Event Calculus (EC) is suitable for modeling high-level specifications of safety-critical cyber-physical systems. The primary advantage lies in the rather small semantic gap between EC models and requirements…

Logic in Computer Science · Computer Science 2026-01-08 Ondřej Vašíček , Joaquin Arias , Jan Fiedor , Gopal Gupta , Brendan Hall , Bohuslav Křena , Brian Larson , Tomáš Vojnar

Effector is a Python package for interpreting machine learning (ML) models that are trained on tabular data through global and regional feature effects. Global effects, like Partial Dependence Plot (PDP) and Accumulated Local Effects (ALE),…

This article emphasizes that NLP as a science seeks to make inferences about the performance effects that result from applying one method (compared to another method) in the processing of natural language. Yet NLP research in practice…

Computation and Language · Computer Science 2022-09-15 Sandra Wankmüller

Reactive systems are systems that maintain an ongoing interaction with their environment, activated by receiving input events from the environment and producing output events in response. Modern programming languages designed to program…

Programming Languages · Computer Science 2016-11-15 Riccardo Pucella

This paper deals with an extended model of computations which uses the parameterized families of entities for data objects and reflects a preliminary outline of this problem. Some topics are selected out, briefly analyzed and arranged to…

Logic in Computer Science · Computer Science 2007-05-23 Larissa Ismailova , Konstantin Zinchenko , Lioubouv Bourmistrova

Type classes are an elegant extension to traditional, Hindley-Milner based typing systems. They are used in modern, typed languages such as Haskell to support controlled overloading of symbols. Haskell 98 supports only single-parameter and…

Programming Languages · Computer Science 2007-05-23 Kevin Glynn , Martin Sulzmann , Peter J. Stuckey

We explore asynchronous programming with algebraic effects. We complement their conventional synchronous treatment by showing how to naturally also accommodate asynchrony within them, namely, by decoupling the execution of operation calls…

Programming Languages · Computer Science 2024-09-25 Danel Ahman , Matija Pretnar