Imagen de Portada

Fewer Truncations Improve Language Modeling

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ding, Hantian, Wang, Zijian, Paolini, Giovanni, Kumar, Varun, Deoras, Anoop, Roth, Dan, Soatto, Stefano
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization
por: Ding, Yifeng, et al.
Publicado: (2025)

Lightweight reranking for language model generations
por: Jain, Siddhartha, et al.
Publicado: (2023)

Lossless Token Sequence Compression via Meta-Tokens
por: Harvill, John, et al.
Publicado: (2025)

Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
por: Liu, Tian Yu, et al.
Publicado: (2024)

Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models
por: Liu, Xiaoze, et al.
Publicado: (2026)

Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
por: Zhuo, Terry Yue, et al.
Publicado: (2025)

Private Language Models via Truncated Laplacian Mechanism
por: Huang, Tianhao, et al.
Publicado: (2024)

MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation
por: Ekbote, Chanakya, et al.
Publicado: (2025)

PICASO: Permutation-Invariant Context Composition with State Space Models
por: Liu, Tian Yu, et al.
Publicado: (2025)

Cyber-Zero: Training Cybersecurity Agents without Runtime
por: Zhuo, Terry Yue, et al.
Publicado: (2025)

Planning-Aware Code Infilling via Horizon-Length Prediction
por: Ding, Yifeng, et al.
Publicado: (2024)

ExecTune: Effective Steering of Black-Box LLMs with Guide Models
por: Lingam, Vijay, et al.
Publicado: (2026)

Linear Spaces of Meanings: Compositional Structures in Vision-Language Models
por: Trager, Matthew, et al.
Publicado: (2023)

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks
por: Yu, Xiaodong, et al.
Publicado: (2023)

STAR: Spectral Truncation and Rescale for Model Merging
por: Lee, Yu-Ang, et al.
Publicado: (2025)

Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
por: Adiga, Rishabh, et al.
Publicado: (2024)

From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification
por: Wang, Fei, et al.
Publicado: (2024)

Training Language Models via Neural Cellular Automata
por: Lee, Dan, et al.
Publicado: (2026)

SAIL: Self-Improving Efficient Online Alignment of Large Language Models
por: Ding, Mucong, et al.
Publicado: (2024)

Improving Consistency in Retrieval-Augmented Systems with Group Similarity Rewards
por: Hamman, Faisal, et al.
Publicado: (2025)

Recursive Introspection: Teaching Language Model Agents How to Self-Improve
por: Qu, Yuxiao, et al.
Publicado: (2024)

Min-$k$ Sampling: Decoupling Truncation from Temperature Scaling via Relative Logit Dynamics
por: Ding, Yuanhao, et al.
Publicado: (2026)

Reducing Credit Assignment Variance via Counterfactual Reasoning Paths
por: Ding, Fei, et al.
Publicado: (2026)

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
por: Cheng, Jiale, et al.
Publicado: (2024)

Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling
por: Dong, Yihong, et al.
Publicado: (2025)

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models
por: Havrilla, Alex, et al.
Publicado: (2024)

Soft Self-Consistency Improves Language Model Agents
por: Wang, Han, et al.
Publicado: (2024)

Evaluating NL2SQL via SQL2NL
por: Safarzadeh, Mohammadtaher, et al.
Publicado: (2025)

ROCKET: Rapid Optimization via Calibration-guided Knapsack Enhanced Truncation for Efficient Model Compression
por: Ali, Ammar, et al.
Publicado: (2026)

Explaining Datasets in Words: Statistical Models with Natural Language Parameters
por: Zhong, Ruiqi, et al.
Publicado: (2024)

CoLa: Learning to Interactively Collaborate with Large Language Models
por: Sharma, Abhishek, et al.
Publicado: (2025)

Introducing Background Temperature to Characterise Hidden Randomness in Large Language Models
por: Messina, Alberto, et al.
Publicado: (2026)

LLMs Meet Finance: Fine-Tuning Foundation Models for the Open FinLLM Leaderboard
por: Rao, Varun, et al.
Publicado: (2025)

Improving Context-Aware Preference Modeling for Language Models
por: Pitis, Silviu, et al.
Publicado: (2024)

Relative Value Biases in Large Language Models
por: Hayes, William M., et al.
Publicado: (2024)

Large Language Models are Biased Reinforcement Learners
por: Hayes, William M., et al.
Publicado: (2024)

Structured Prompts Improve Evaluation of Language Models
por: Aali, Asad, et al.
Publicado: (2025)

Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data
por: Yang, Shiping, et al.
Publicado: (2025)

Logically Consistent Language Models via Neuro-Symbolic Integration
por: Calanzone, Diego, et al.
Publicado: (2024)

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
por: Yuksekgonul, Mert, et al.
Publicado: (2023)