:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Qizhen, Bhargava, Prajjwal, Bi, Chloe, Cai, Chris X., Foerster, Jakob, Fu, Jeremy, Koura, Punit Singh, Silva, Ruan, Shen, Sheng, Dinan, Emily, Gururangan, Suchin, Lewis, Mike
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2502.00075
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Time is Encoded in the Weights of Finetuned Language Models
by: Nylund, Kai, et al.
Published: (2023)

An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence
by: Zhang, Qizhen, et al.
Published: (2026)

Optimizing Pretraining Data Mixtures with LLM-Estimated Utility
by: Held, William, et al.
Published: (2025)

PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition
by: Zhang, Ziyang, et al.
Published: (2024)

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models
by: Blevins, Terra, et al.
Published: (2024)

LESS: Selecting Influential Data for Targeted Instruction Tuning
by: Xia, Mengzhou, et al.
Published: (2024)

Analysing the Sample Complexity of Opponent Shaping
by: Fung, Kitty, et al.
Published: (2024)

Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks
by: Schaeffer, Rylan, et al.
Published: (2025)

Rethinking Thinking Tokens: LLMs as Improvement Operators
by: Madaan, Lovish, et al.
Published: (2025)

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
by: Min, Sewon, et al.
Published: (2023)

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters
by: Lucy, Li, et al.
Published: (2024)

Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts
by: Gritsch, Nikolas, et al.
Published: (2024)

When should we prefer Decision Transformers for Offline Reinforcement Learning?
by: Bhargava, Prajjwal, et al.
Published: (2023)

Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
by: Jayalath, Dulhan, et al.
Published: (2025)

Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder
by: Yang, Xianjun, et al.
Published: (2025)

BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts
by: Zhang, Qizhen, et al.
Published: (2024)

Los congresos estatales de los Estados Unidos asumen la formulación de políticas públicas
by: Dinan, John
Published: (2006)

U.S. state capitols take on policy making / John Dinan
by: Dinan, John
Published: (2006)

Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
by: Matthews, Michael, et al.
Published: (2024)

JaxLife: An Open-Ended Agentic Simulator
by: Lu, Chris, et al.
Published: (2024)

BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics
by: Prabowo, Arian, et al.
Published: (2024)

Mixture of Experts in a Mixture of RL settings
by: Willi, Timon, et al.
Published: (2024)

AI & Human Co-Improvement for Safer Co-Superintelligence
by: Weston, Jason, et al.
Published: (2025)

AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement
by: Rosser, J, et al.
Published: (2025)

Information Flow Control in Machine Learning through Modular Model Architecture
by: Tiwari, Trishita, et al.
Published: (2023)

Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation
by: Benigmim, Yasser, et al.
Published: (2025)

Individual Specialization in a Generalist Apex Predator: The Leopard Seal
by: Emily S. Sperou, et al.
Published: (2025)

Individual Specialization in a Generalist Apex Predator: The Leopard Seal.
by: Sperou, Emily S, et al.
Published: (2025)

Temperature Estimation in Induction Motors using Machine Learning
by: Li, Dinan, et al.
Published: (2025)

The Formation of the Second von der Leyen Commission: Nomination, Organisation and Confirmation
by: Desmond Dinan, et al.
Published: (2025)

Estudo de caso: Matriz SWOT do BTS
by: Fernanda Alves dos Santos
Published: (2020)

PeerBTS: Incentivizing Effort in Strategyproof Peer Selection
by: Lyon, Harper, et al.
Published: (2026)

BTS: A Comprehensive Benchmark for Tie Strength Prediction
by: Cheng, Xueqi, et al.
Published: (2024)

Harmonizing Heterogeneity: Unified Embedding Spaces for Generalist AI
by: Revista, Zen, et al.
Published: (2025)

UltraMedical: Building Specialized Generalists in Biomedicine
by: Zhang, Kaiyan, et al.
Published: (2024)

Construction of Machine-Learning Interatomic Potential Under Heat Flux Regularization and Its Application to Power Spectrum Analysis for Silver Chalcogenides
by: Shimamura, Kohei, et al.
Published: (2022)

Text-Guided Semantic Image Encoder
by: Thirukovalluru, Raghuveer, et al.
Published: (2025)

Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
by: Cook, Jonathan, et al.
Published: (2024)

Behaviour Distillation
by: Lupu, Andrei, et al.
Published: (2024)

TC-MIS: Maximal Independent Set on Tensor-cores
by: Nijhara, Prajjwal, et al.
Published: (2026)