Copertina

The magnitude of categories of texts enriched by language models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bradley, Tai-Danae, Vigneaux, Juan Pablo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Category Theory Computation and Language 18D20, 68T50, 94A17 I.2.7; G.3
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

On internal categories and crossed objects in the category of monoids
di: Pirashvili, Ilia
Pubblicazione: (2024)

A Mathematical Theory of Discursive Networks
di: Gutiérrez, Juan B.
Pubblicazione: (2025)

Measuring text summarization factuality using atomic facts entailment metrics in the context of retrieval augmented generation
di: Kriman, N. E.
Pubblicazione: (2024)

Data and AI governance: Promoting equity, ethics, and fairness in large language models
di: Abhishek, Alok, et al.
Pubblicazione: (2025)

UM_FHS at TREC 2024 PLABA: Exploration of Fine-tuning and AI agent approach for plain language adaptations of biomedical text
di: Kocbek, Primoz, et al.
Pubblicazione: (2025)

Recipient Profiling: Predicting Characteristics from Messages
di: Borquez, Martin, et al.
Pubblicazione: (2024)

The Lossy Horizon: Error-Bounded Predictive Coding for Lossy Text Compression (Episode I)
di: Aghanya, Nnamdi, et al.
Pubblicazione: (2025)

Unveiling factors influencing judgment variation in Sentiment Analysis with Natural Language Processing and Statistics
di: Kellert, Olga, et al.
Pubblicazione: (2024)

The 99% Success Paradox: When Near-Perfect Retrieval Equals Random Selection
di: Repantis, Vyzantinos, et al.
Pubblicazione: (2026)

Nerves of enriched categories via necklaces
di: Mertens, Arne
Pubblicazione: (2024)

PaperAudit-Bench: Benchmarking Error Detection in Research Papers for Critical Automated Peer Review
di: Tu, Songjun, et al.
Pubblicazione: (2026)

An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
di: Ma, Chong, et al.
Pubblicazione: (2023)

Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
di: Nguyen, Minh Hoang, et al.
Pubblicazione: (2025)

From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive Grammars
di: Kornilov, Albert, et al.
Pubblicazione: (2024)

Large Language Models Report Subjective Experience Under Self-Referential Processing
di: Berg, Cameron, et al.
Pubblicazione: (2025)

Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard
di: Plevris, Vagelis, et al.
Pubblicazione: (2023)

Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation
di: Buchner, Valentin Leonhard, et al.
Pubblicazione: (2023)

Technical Report on the Pangram AI-Generated Text Classifier
di: Emi, Bradley, et al.
Pubblicazione: (2024)

Asymptotic Semantic Collapse in Hierarchical Optimization
di: Alpay, Faruk, et al.
Pubblicazione: (2026)

Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form QA
di: Badshah, Sher, et al.
Pubblicazione: (2024)

PLUGH: A Benchmark for Spatial Understanding and Reasoning in Large Language Models
di: Tikhonov, Alexey
Pubblicazione: (2024)

The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings
di: Goldin, Gili, et al.
Pubblicazione: (2024)

Math Natural Language Inference: this should be easy!
di: de Paiva, Valeria, et al.
Pubblicazione: (2025)

Fast Quiet-STaR: Thinking Without Thought Tokens
di: Huang, Wei, et al.
Pubblicazione: (2025)

New Skills or Sharper Primitives? A Probabilistic Perspective on the Emergence of Reasoning in RLVR
di: Wang, Zhilin, et al.
Pubblicazione: (2026)

d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models
di: Pan, Leyi, et al.
Pubblicazione: (2025)

Towards Effective and Efficient Continual Pre-training of Large Language Models
di: Chen, Jie, et al.
Pubblicazione: (2024)

An Unforgeable Publicly Verifiable Watermark for Large Language Models
di: Liu, Aiwei, et al.
Pubblicazione: (2023)

The Unlikely Duel: Evaluating Creative Writing in LLMs through a Unique Scenario
di: Gómez-Rodríguez, Carlos, et al.
Pubblicazione: (2024)

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
di: Liu, Aiwei, et al.
Pubblicazione: (2024)

SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity
di: Kim, Jaemin, et al.
Pubblicazione: (2024)

Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsing
di: Fernández-González, Daniel, et al.
Pubblicazione: (2026)

Parametric Social Identity Injection and Diversification in Public Opinion Simulation
di: Wang, Hexi, et al.
Pubblicazione: (2026)

Trusted Uncertainty in Large Language Models: A Unified Framework for Confidence Calibration and Risk-Controlled Refusal
di: Oehri, Markus, et al.
Pubblicazione: (2025)

AI-assisted German Employment Contract Review: A Benchmark Dataset
di: Wardas, Oliver, et al.
Pubblicazione: (2025)

The Superalignment of Superhuman Intelligence with Large Language Models
di: Huang, Minlie, et al.
Pubblicazione: (2024)

ScoreRAG: A Retrieval-Augmented Generation Framework with Consistency-Relevance Scoring and Structured Summarization for News Generation
di: Lin, Pei-Yun, et al.
Pubblicazione: (2025)

Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
di: Park, Seungcheol, et al.
Pubblicazione: (2025)

When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
di: Wang, Yongjie, et al.
Pubblicazione: (2025)

GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
di: Luo, Jianwen, et al.
Pubblicazione: (2025)