Imagen de Portada

The Shape of Wisdom: Decision Trajectories in Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Rana, Shailesh
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
por: Liu, Shang, et al.
Publicado: (2024)

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
por: Chen, Kai, et al.
Publicado: (2023)

Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models
por: Das, Rocktim Jyoti, et al.
Publicado: (2023)

FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom
por: He, Yuanqin, et al.
Publicado: (2024)

Semantic Gravity Wells: Why Negative Constraints Backfire
por: Rana, Shailesh
Publicado: (2026)

Geometry of Decision Making in Language Models
por: Joshi, Abhinav, et al.
Publicado: (2025)

MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
por: Ni, Jinjie, et al.
Publicado: (2024)

Revisiting the Shape Convention of Transformer Language Models
por: Liao, Feng-Ting, et al.
Publicado: (2026)

Building Decision Making Models Through Language Model Regime
por: Zhang, Yu, et al.
Publicado: (2024)

Magic Words or Methodical Work? Challenging Conventional Wisdom in LLM-Based Political Text Annotation
por: McLaren, Lorcan, et al.
Publicado: (2026)

Probing the Decision Boundaries of In-context Learning in Large Language Models
por: Zhao, Siyan, et al.
Publicado: (2024)

Explaining Large Language Models Decisions Using Shapley Values
por: Mohammadi, Behnam
Publicado: (2024)

DeLLMa: Decision Making Under Uncertainty with Large Language Models
por: Liu, Ollie, et al.
Publicado: (2024)

Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models
por: Cui, Andrea Yaoyun, et al.
Publicado: (2025)

Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models
por: Alqahtani, Sawsan, et al.
Publicado: (2026)

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
por: Shukla, Divyaksh, et al.
Publicado: (2026)

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models
por: Shi, Dachuan, et al.
Publicado: (2025)

Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
por: Schoenegger, Philipp, et al.
Publicado: (2024)

PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
por: Khan, Rana Muhammad Shahroz, et al.
Publicado: (2024)

Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
por: Yang, Yu, et al.
Publicado: (2024)

Influential Language Data Selection via Gradient Trajectory Pursuit
por: Deng, Zhiwei, et al.
Publicado: (2024)

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting
por: Chen, Wei, et al.
Publicado: (2025)

Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning
por: Tsai, Yao-Hung Hubert, et al.
Publicado: (2024)

CliBench: A Multifaceted and Multigranular Evaluation of Large Language Models for Clinical Decision Making
por: Ma, Mingyu Derek, et al.
Publicado: (2024)

SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
por: Yang, Yu, et al.
Publicado: (2024)

Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models
por: Yan, Xue, et al.
Publicado: (2023)

"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models
por: Knauer, Ricardo, et al.
Publicado: (2024)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
por: Xie, Tianbao, et al.
Publicado: (2023)

On the Shape of Brainscores for Large Language Models (LLMs)
por: Li, Jingkai
Publicado: (2024)

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation
por: Phisannupawong, Thaweerath, et al.
Publicado: (2025)

Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
por: Bani-Harouni, David, et al.
Publicado: (2025)

Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration
por: Chen, Zhipeng, et al.
Publicado: (2026)

TABES: Trajectory-Aware Backward-on-Entropy Steering for Masked Diffusion Models
por: Saini, Shreshth, et al.
Publicado: (2026)

Language Models as Zero-Shot Trajectory Generators
por: Kwon, Teyun, et al.
Publicado: (2023)

Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
por: Zheng, Qinqing, et al.
Publicado: (2024)

TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration
por: Du, Yuwei, et al.
Publicado: (2024)

Language Agents as Digital Representatives in Collective Decision-Making
por: Jarrett, Daniel, et al.
Publicado: (2025)

Training-Trajectory-Aware Token Selection
por: Shen, Zhanming, et al.
Publicado: (2026)

ACAR: Adaptive Complexity Routing for Multi-Model Ensembles with Auditable Decision Traces
por: Kumaresan, Ramchand
Publicado: (2026)

Membership Inference Attacks on Discrete Diffusion Language Models
por: Kasivelrajan, Shailesh
Publicado: (2026)