Copertina

Leveraging Log Probabilities in Language Models to Forecast Future Events

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Soru, Tommaso, Marshall, Jim
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Machine Learning 60-08 I.2.3; I.2.7
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Large Language Models Are Not Strong Abstract Reasoners
di: Gendron, Gaël, et al.
Pubblicazione: (2023)

DISCO: DISCovering Overfittings as Causal Rules for Text Classification Models
di: Zhang, Zijian, et al.
Pubblicazione: (2024)

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
di: Abramov, Roman, et al.
Pubblicazione: (2025)

NL2LOGIC: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models
di: Putra, Rizky Ramadhana, et al.
Pubblicazione: (2026)

MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning Chains
di: Wei, Kaiwen, et al.
Pubblicazione: (2025)

Can Large Language Models Learn Independent Causal Mechanisms?
di: Gendron, Gaël, et al.
Pubblicazione: (2024)

Training Language Models to Use Prolog as a Tool
di: Mellgren, Niklas, et al.
Pubblicazione: (2025)

By Their Fruits You Will Know Them: Comparing Formalizations of Law by the Decisions They Encode
di: Vernie, Julius, et al.
Pubblicazione: (2026)

SQL Query Engine: A Self-Healing LLM Pipeline for Natural Language to PostgreSQL Translation
di: Ijaz, Muhammad Adeel
Pubblicazione: (2026)

Gyan: An Explainable Neuro-Symbolic Language Model
di: Srinivasan, Venkat, et al.
Pubblicazione: (2026)

Towards Leveraging Large Language Models for Automated Medical Q&A Evaluation
di: Krolik, Jack, et al.
Pubblicazione: (2024)

Robust Uncertainty Quantification for Factual Generation of Large Language Models
di: Zhang, Yuhao, et al.
Pubblicazione: (2026)

Future Token Prediction -- Causal Language Modelling with Per-Token Semantic State Vector for Multi-Token Prediction
di: Walker, Nicholas
Pubblicazione: (2024)

1GC-7RC: One Graphic Card -- Seven Research Challenges! How Good Are AI Agents at Doing Your Job?
di: Kampa, Robin-Nico, et al.
Pubblicazione: (2026)

Reinforced Language Models for Sequential Decision Making
di: Dilkes, Jim, et al.
Pubblicazione: (2025)

Evolve: A Persistent Knowledge Lifecycle for Small Language Models
di: Hovagimian, Dikran
Pubblicazione: (2026)

Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency
di: Mishra, Anurag
Pubblicazione: (2024)

Understanding Syllogistic Reasoning in LLMs from Formal and Natural Language Perspectives
di: Poddar, Aheli, et al.
Pubblicazione: (2025)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
di: Fadli, Samih
Pubblicazione: (2025)

Advancing Natural Language Formalization to First Order Logic with Fine-tuned LLMs
di: Vossel, Felix, et al.
Pubblicazione: (2025)

MoDeGPT: Modular Decomposition for Large Language Model Compression
di: Lin, Chi-Heng, et al.
Pubblicazione: (2024)

Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds
di: Gendron, Gaël, et al.
Pubblicazione: (2025)

Enhancing LLM Code Generation Capabilities through Test-Driven Development and Code Interpreter
di: Jalil, Sajed, et al.
Pubblicazione: (2025)

Stratified Hazard Sampling: Minimal-Variance Event Scheduling for CTMC/DTMC Discrete Diffusion and Flow Models
di: Jang, Seunghwan, et al.
Pubblicazione: (2026)

Large Language Model (LLM) Bias Index -- LLMBI
di: Oketunji, Abiodun Finbarrs, et al.
Pubblicazione: (2023)

Engineering A Large Language Model From Scratch
di: Oketunji, Abiodun Finbarrs
Pubblicazione: (2024)

Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
di: Oketunji, Abiodun Finbarrs
Pubblicazione: (2023)

Language Models Are Implicitly Continuous
di: Marro, Samuele, et al.
Pubblicazione: (2025)

Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language Models
di: Bates, Averi, et al.
Pubblicazione: (2025)

Practical Design and Benchmarking of Generative AI Applications for Surgical Billing and Coding
di: Rollman, John C., et al.
Pubblicazione: (2025)

Sparsification and Reconstruction from the Perspective of Representation Geometry
di: Sun, Wenjie, et al.
Pubblicazione: (2025)

Memory Architectures for Multi-Turn Text-to-SQL: A Benchmark and Empirical Study
di: Tummalapenta, Ravi Kumar, et al.
Pubblicazione: (2026)

ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models
di: Feuer, Benjamin, et al.
Pubblicazione: (2023)

Combining Language and Topic Models for Hierarchical Text Classification
di: Toit, Jaco du, et al.
Pubblicazione: (2025)

Context-Aware Clustering using Large Language Models
di: Tipirneni, Sindhu, et al.
Pubblicazione: (2024)

Memory Bank Compression for Continual Adaptation of Large Language Models
di: Katraouras, Thomas, et al.
Pubblicazione: (2026)

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
di: Zhu, Jiajun, et al.
Pubblicazione: (2025)

Self-Pruned Key-Value Attention: Learning When to Write by Predicting Future Utility
di: Szilvasy, Gergely, et al.
Pubblicazione: (2026)

Stroke Lesions as a Rosetta Stone for Language Model Interpretability
di: Fridriksson, Julius, et al.
Pubblicazione: (2026)

Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models
di: Shravan, Rohan
Pubblicazione: (2026)