:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	An, Hongjun, Chen, Yifan, Sun, Zhe, Li, Xuelong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Computation and Language
Accesso online:	https://arxiv.org/abs/2408.00655
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Physics in Next-token Prediction
di: An, Hongjun, et al.
Pubblicazione: (2024)

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
di: Warner, Benjamin, et al.
Pubblicazione: (2024)

Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models
di: Appicharla, Ramakrishna, et al.
Pubblicazione: (2025)

Predicting Sentence Acceptability Judgments in Multimodal Contexts
di: Jang, Hyewon, et al.
Pubblicazione: (2026)

On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models
di: Wijesiriwardene, Thilini, et al.
Pubblicazione: (2023)

SpecFuse: Ensembling Large Language Models via Next-Segment Prediction
di: Lv, Bo, et al.
Pubblicazione: (2024)

Jailbreak Instruction-Tuned LLMs via end-of-sentence MLP Re-weighting
di: Luo, Yifan, et al.
Pubblicazione: (2024)

Single-Pixel Vision-Language Model for Intrinsic Privacy-Preserving Behavioral Intelligence
di: An, Hongjun, et al.
Pubblicazione: (2026)

Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's Capabilities
di: Liu, Zhichen, et al.
Pubblicazione: (2026)

EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts
di: Chaudhury, Subhajit, et al.
Pubblicazione: (2025)

Moving Beyond Next-Token Prediction: Transformers are Context-Sensitive Language Generators
di: Rhee, Phill Kyu
Pubblicazione: (2025)

A Law of Next-Token Prediction in Large Language Models
di: He, Hangfeng, et al.
Pubblicazione: (2024)

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
di: Yang, Wang, et al.
Pubblicazione: (2025)

Information Capacity: Evaluating the Efficiency of Large Language Models via Text Compression
di: Yuan, Cheng, et al.
Pubblicazione: (2025)

Silicon Bureaucracy and AI Test-Oriented Education: Contamination Sensitivity and Score Confidence in LLM Benchmarks
di: Song, Yiliang, et al.
Pubblicazione: (2026)

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
di: Yang, Xinyu, et al.
Pubblicazione: (2025)

SegNSP: Revisiting Next Sentence Prediction for Linear Text Segmentation
di: Isidro, José, et al.
Pubblicazione: (2026)

Do Influence Functions Work on Large Language Models?
di: Li, Zhe, et al.
Pubblicazione: (2024)

Context-level Language Modeling by Learning Predictive Context Embeddings
di: Dai, Beiya, et al.
Pubblicazione: (2025)

You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
di: He, Wenchong, et al.
Pubblicazione: (2025)

On Speeding Up Language Model Evaluation
di: Zhou, Jin Peng, et al.
Pubblicazione: (2024)

An In-depth Evaluation of Large Language Models in Sentence Simplification with Error-based Human Assessment
di: Wu, Xuanxin, et al.
Pubblicazione: (2024)

Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing
di: Koneru, Sai, et al.
Pubblicazione: (2023)

Theoretical Foundations of Scaling Law in Familial Models
di: Song, Huan, et al.
Pubblicazione: (2025)

Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction
di: Chen, Jianhao, et al.
Pubblicazione: (2024)

Contextual Clarity: Generating Sentences with Transformer Models using Context-Reverso Data
di: Musaev, Ruslan
Pubblicazione: (2024)

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

Beyond Next Token Prediction: Patch-Level Training for Large Language Models
di: Shao, Chenze, et al.
Pubblicazione: (2024)

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation
di: Zhang, Yichi, et al.
Pubblicazione: (2025)

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
di: Nishida, Ryo, et al.
Pubblicazione: (2026)

SQLong: Enhanced NL2SQL for Longer Contexts with LLMs
di: Nguyen, Dai Quoc, et al.
Pubblicazione: (2025)

CreditAudit: 2$^\text{nd}$ Dimension for LLM Evaluation and Selection
di: Song, Yiliang, et al.
Pubblicazione: (2026)

AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning
di: Jin, Qiao, et al.
Pubblicazione: (2024)

Next Concept Prediction in Discrete Latent Space Leads to Stronger Language Models
di: Liu, Yuliang, et al.
Pubblicazione: (2026)

Memory Tokens: Large Language Models Can Generate Reversible Sentence Embeddings
di: Sastre, Ignacio, et al.
Pubblicazione: (2025)

Latent Reasoning via Sentence Embedding Prediction
di: Hwang, Hyeonbin, et al.
Pubblicazione: (2025)

VisionZip: Longer is Better but Not Necessary in Vision Language Models
di: Yang, Senqiao, et al.
Pubblicazione: (2024)

Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Models
di: Li, Xiao, et al.
Pubblicazione: (2024)

MEXMA: Token-level objectives improve sentence representations
di: Janeiro, João Maria, et al.
Pubblicazione: (2024)

The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models
di: Chen, Yanjun, et al.
Pubblicazione: (2024)