:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Carvalho, Danilo S., Manino, Edoardo, Rozanova, Julia, Cordeiro, Lucas, Freitas, André
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Computation and Language
Accesso online:	https://arxiv.org/abs/2212.04310
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Was it Slander? Towards Exact Inversion of Generative Language Models
di: Skapars, Adrians, et al.
Pubblicazione: (2024)

Estimating the Causal Effects of Natural Logic Features in Neural NLI Models
di: Rozanova, Julia, et al.
Pubblicazione: (2023)

Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models
di: Rozanova, Julia, et al.
Pubblicazione: (2024)

Higher-Order DisCoCat (Peirce-Lambek-Montague semantics)
di: Toumi, Alexis, et al.
Pubblicazione: (2023)

TRACE: Training and Inference-Time Interpretability Analysis for Language Models
di: Aljaafari, Nura, et al.
Pubblicazione: (2025)

Bridging Compositional and Distributional Semantics: A Survey on Latent Semantic Geometry via AutoEncoder
di: Zhang, Yingji, et al.
Pubblicazione: (2025)

Emergence and Localisation of Semantic Role Circuits in LLMs
di: Aljaafari, Nura, et al.
Pubblicazione: (2025)

CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment
di: Aljaafari, Nura, et al.
Pubblicazione: (2025)

The Mechanics of Conceptual Interpretation in GPT Models: Interpretative Insights
di: Aljaafari, Nura, et al.
Pubblicazione: (2024)

TRACE for Tracking the Emergence of Semantic Representations in Transformers
di: Aljaafari, Nura, et al.
Pubblicazione: (2025)

Interpreting token compositionality in LLMs: A robustness analysis
di: Aljaafari, Nura, et al.
Pubblicazione: (2024)

Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder
di: Zhang, Yingji, et al.
Pubblicazione: (2022)

Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks
di: Zhang, Yingji, et al.
Pubblicazione: (2023)

Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
di: Valentino, Marco, et al.
Pubblicazione: (2023)

Automated Repair of AI Code with Large Language Models and Formal Verification
di: Charalambous, Yiannis, et al.
Pubblicazione: (2024)

Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study
di: Zhang, Yingji, et al.
Pubblicazione: (2025)

Towards Controllable Natural Language Inference through Lexical Inference Types
di: Zhang, Yingji, et al.
Pubblicazione: (2023)

LangVAE and LangSpace: Building and Probing for Language Model VAEs
di: Carvalho, Danilo S., et al.
Pubblicazione: (2025)

Inductive Learning of Logical Theories with LLMs: An Expressivity-Graded Analysis
di: Gandarela, João Pedro, et al.
Pubblicazione: (2024)

SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning
di: Wysocka, Magdalena, et al.
Pubblicazione: (2024)

Scaling behavior of large language models in emotional safety classification across sizes and tasks
di: Pinzuti, Edoardo, et al.
Pubblicazione: (2025)

Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
di: Zhang, Yingji, et al.
Pubblicazione: (2024)

PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement
di: Quan, Xin, et al.
Pubblicazione: (2025)

GPT, But Backwards: Exactly Inverting Language Model Outputs
di: Skapars, Adrians, et al.
Pubblicazione: (2025)

Neural Network Verification is a Programming Language Challenge
di: Cordeiro, Lucas C., et al.
Pubblicazione: (2025)

A statistically consistent measure of semantic uncertainty using Language Models
di: Liu, Yi
Pubblicazione: (2025)

Factual consistency evaluation of summarization in the Era of large language models
di: Luo, Zheheng, et al.
Pubblicazione: (2024)

A semantic embedding space based on large language models for modelling human beliefs
di: Lee, Byunghwee, et al.
Pubblicazione: (2024)

Subdiffusive semantic evolution in Indo-European languages
di: Asztalos, Bogdán, et al.
Pubblicazione: (2022)

Is neural semantic parsing good at ellipsis resolution, or isn't it?
di: Zhang, Xiao, et al.
Pubblicazione: (2025)

Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs
di: Delmas, Maxime, et al.
Pubblicazione: (2025)

Evaluating book summaries from internal knowledge in Large Language Models: a cross-model and semantic consistency approach
di: Coronado-Blázquez, Javier
Pubblicazione: (2025)

Speech language models lack important brain-relevant semantics
di: Oota, Subba Reddy, et al.
Pubblicazione: (2023)

Performance of large language models in numerical vs. semantic medical knowledge: Benchmarking on evidence-based Q&As
di: Avnat, Eden, et al.
Pubblicazione: (2024)

Efficient semantic uncertainty quantification in language models via diversity-steered sampling
di: Park, Ji Won, et al.
Pubblicazione: (2025)

Intra-neuronal attention within language models Relationships between activation and semantics
di: Pichat, Michael, et al.
Pubblicazione: (2025)

ProfVLM: A lightweight video-language model for multi-view proficiency estimation
di: Bianchi, Edoardo, et al.
Pubblicazione: (2025)

Generalizations across filler-gap dependencies in neural language models
di: Howitt, Katherine, et al.
Pubblicazione: (2024)

Verifying components of Arm(R) Confidential Computing Architecture with ESBMC
di: Wu, Tong, et al.
Pubblicazione: (2024)

The Algebra of Meaning: Why Machines Need Montague More Than Moore's Law
di: Jeong, Cheonkam, et al.
Pubblicazione: (2025)