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Showing 356533 results for "program evaluation" · Preprint
Computer Science Preprint PDF DOI

Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection

Prashant Kulkarni · 2026

Multi-turn prompt injection follows a known attack path -- trust-building, pivoting, escalation but text-level defenses miss covert attacks where individual turns appear benign. We show this attack pa…

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Computer Science Preprint PDF DOI

DEFault++: Automated Fault Detection, Categorization, and Diagnosis for Transformer Architectures

Sigma Jahan, Saurabh Singh Rajput, Tushar Sharma, Mohammad Masudur Rahman · 2026

Transformer models are widely deployed in critical AI applications, yet faults in their attention mechanisms, projections, and other internal components often degrade behavior silently without raising…

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AI & Data Science Preprint PDF DOI

What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design

Ivan Bercovich · 2026

Terminal-agent benchmarks have become a primary signal for measuring the coding and system-administration capabilities of large language models. As the market for evaluation environments grows, so doe…

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Computer Science Preprint PDF DOI

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani, Holger Giese · 2026

Rule-based systems remain central in safety-critical domains but often struggle with scalability, brittleness, and goal misspecification. These limitations can lead to reward hacking and failures in f…

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Mathematics Preprint PDF DOI

Nonlinear evolution equations with a non-Lipschitz perturbation: convergence of successive approximations and uniqueness of solutions

G. Diaz, J.I. D{i}az · 2026

This paper investigates the existence and uniqueness of solutions for a nonlinear evolution equation governed by an m-accretive operator A in a Banach space, presenting a perturbation term that does n…

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AI & Data Science Preprint PDF DOI

Characterizing the Consistency of the Emergent Misalignment Persona

Anietta Weckauff, Yuchen Zhang, Maksym Andriushchenko · 2026

Fine-tuning large language models (LLMs) on narrowly misaligned data generalizes to broadly misaligned behavior, a phenomenon termed emergent misalignment (EM). While prior work has found a correlatio…

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AI & Data Science Preprint PDF DOI

AesRM: Improving Video Aesthetics with Expert-Level Feedback

Yujin Han, Yujie Wei, Yefei He, Xinyu Liu, Tianle Li, Zichao Yu, Andi Han, Shiwei Zhang, Tingyu Weng, Difan Zou · 2026

Despite rapid advances in photorealistic video generation, real-world applications such as filmmaking require video aesthetics, e.g., harmonious colors and cinematic lighting, beyond visual fidelity. …

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AI & Data Science Preprint PDF DOI

Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling

Ansar Aynetdinov, Patrick Haller, Alan Akbik · 2026

Recent research has shown that filtering massive English web corpora into high-quality subsets significantly improves training efficiency. However, for high-resource non-English languages like German,…

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Computer Science Preprint PDF DOI

Akita: A High Usability Simulation Framework for Computer Architecture

Sabila Al Jannat, Ying Li, Mengyang He, Xuzhong Wang, Huizhi Zhao, Jingxiang Sun, Daoxuan Xu, Enze Xu, Yifan Sun · 2026

Computer architecture simulation is essential for evaluating new designs without the need for costly tapeout. The community has developed dozens of valuable simulators that have enabled significant ar…

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Mathematics Preprint PDF DOI

A torsion-intersection proof of perfect-cuboid nonexistence on 1,072 explicit master-tuple fibers

Rene Peschmann · 2026

Building on the genus-3 reduction $C_A : w^2 = \lambda^8 + A \lambda^4 + 1$ established in our companion paper (arXiv:2604.09328), we give an unconditional proof of the perfect-cuboid conjecture ("Con…

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AI & Data Science Preprint PDF DOI

A Unified Framework of Hyperbolic Graph Representation Learning Methods

Sofia Perez Casulo, Marcelo Fiori, Bernardo Marenco, Federico Larroca · 2026

Hyperbolic geometry has emerged as an effective latent space for representing complex networks, owing to its ability to capture hierarchical organization and heterogeneous connectivity patterns using …

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AI & Data Science Preprint PDF DOI

3D Reconstruction Techniques in the Manufacturing Domain: Applications, Research Opportunities and Use Cases

Chialoon Cheng, Kaijun liu, Zhiyang Liu, Marcelo H Ang Jr · 2026

This comprehensive review examines the evolution and the current state of the art in three-dimensional (3D) reconstruction techniques in manufacturing applications. The analysis covers both traditiona…

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Physics Preprint PDF DOI

A No-Cloning Trade-off Between Black Hole No-Hair and Horizon Smoothness

Sudhanva Joshi, Sunil Kumar Mishra · 2026

The black hole no-hair theorem is traditionally derived from the uniqueness theorems of general relativity. We show that a quantitative form follows from unitarity together with the standard semiclass…

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AI & Data Science Preprint PDF DOI

Agent-Agnostic Evaluation of SQL Accuracy in Production Text-to-SQL Systems

Taslim Jamal Arif, Kuldeep Singh · 2026

Text-to-SQL (T2SQL) evaluation in production environments poses fundamental challenges that existing benchmarks do not address. Current evaluation methodologies whether rule-based SQL matching or sche…

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AI & Data Science Preprint PDF DOI

Collaborative Agent Reasoning Engineering (CARE): A Three-Party Design Methodology for Systematically Engineering AI Agents with Subject Matter Experts, Developers, and Helper Agents

Rahul Ramachandran, Nidhi Jha, Muthukumaran Ramasubramanian · 2026

We present Collaborative Agent Reasoning Engineering (CARE), a disciplined methodology for engineering Large Language Model (LLM) agents in scientific domains. Unlike ad-hoc trial-and-error approaches…

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AI & Data Science Preprint PDF DOI

SpecVQA: A Benchmark for Spectral Understanding and Visual Question Answering in Scientific Images

Jialu Shen, Han Lyu, Suyang Zhong, Hanzheng Li, Haoyi Tao, Nan Wang, Changhong Chen, Xi Fang · 2026

Spectra are a prevalent yet highly information-dense form of scientific imagery, presenting substantial challenges to multimodal large language models (MLLMs) due to their unstructured and domain-spec…

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AI & Data Science Preprint PDF DOI

Models Recall What They Violate: Constraint Adherence in Multi-Turn LLM Ideation

Garvin Kruthof · 2026

When researchers iteratively refine ideas with large language models, do the models preserve fidelity to the original objective? We introduce DriftBench, a benchmark for evaluating constraint adherenc…

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AI & Data Science Preprint PDF DOI

Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge

Sharayu Nilesh Deshmukh, Kailash A. Hambarde, Joana C. Costa, Hugo Proenca, Tiago Roxo · 2026

Current DeepFake detection scenarios are mostly binary, yet data manipulation can vary across audio, video, or both, whose variability is not captured in binary settings. Four-class audio-visual formu…

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AI & Data Science Preprint PDF DOI

Exploring Interaction Paradigms for LLM Agents in Scientific Visualization

Jackson Vonderhorst, Kuangshi Ai, Haichao Miao, Shusen Liu, Chaoli Wang · 2026

This paper examines how different types of large language model (LLM) agents perform on scientific visualization (SciVis) tasks, where users generate visualization workflows from natural-language inst…

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Computer Science Preprint PDF DOI

On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear Logic

Ugo Dal Lago, Guido Fiorillo, Paolo Pistone · 2026

The problem of determining whether a probabilistic program terminates almost surely (i.e.~with probability one) is undecidable, and actually $\Pi^0_2$-complete. For this reason, a growing literature h…

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