Transparent Screening for LLM Inference and Training Impacts
Fuente:
arXiv
Saved in:
| Main Authors: | Pachot, Arnault, Petit, Thierry |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Llms, Virtual Users, and Bias: Predicting Any Survey Question Without Human Data
by: Sinacola, Enzo, et al.
Published: (2025)
by: Sinacola, Enzo, et al.
Published: (2025)
Exact Synthetic Populations for Scalable Societal and Market Modeling
by: Petit, Thierry, et al.
Published: (2025)
by: Petit, Thierry, et al.
Published: (2025)
Declarative Integration and Management of Large Language Models through Finite Automata: Application to Automation, Communication, and Ethics
by: Petit, Thierry, et al.
Published: (2024)
by: Petit, Thierry, et al.
Published: (2024)
Diagnosing Training Inference Mismatch in LLM Reinforcement Learning
by: Zhong, Tianle, et al.
Published: (2026)
by: Zhong, Tianle, et al.
Published: (2026)
PITA: Preference-Guided Inference-Time Alignment for LLM Post-Training
by: Bobbili, Sarat Chandra, et al.
Published: (2025)
by: Bobbili, Sarat Chandra, et al.
Published: (2025)
R$^2$PO: Decoupling Training Trajectories from Inference Responses for LLM Reasoning
by: Wang, Jingchu, et al.
Published: (2026)
by: Wang, Jingchu, et al.
Published: (2026)
On the Detectability of LLM-Generated Text: What Exactly Is LLM-Generated Text?
by: Geng, Mingmeng, et al.
Published: (2025)
by: Geng, Mingmeng, et al.
Published: (2025)
The Impact of Inference Acceleration on Bias of LLMs
by: Kirsten, Elisabeth, et al.
Published: (2024)
by: Kirsten, Elisabeth, et al.
Published: (2024)
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models
by: Pan, Bowen, et al.
Published: (2024)
by: Pan, Bowen, et al.
Published: (2024)
Muon is Scalable for LLM Training
by: Liu, Jingyuan, et al.
Published: (2025)
by: Liu, Jingyuan, et al.
Published: (2025)
Communication Compression for Tensor Parallel LLM Inference
by: Hansen-Palmus, Jan, et al.
Published: (2024)
by: Hansen-Palmus, Jan, et al.
Published: (2024)
Defeating the Training-Inference Mismatch via FP16
by: Qi, Penghui, et al.
Published: (2025)
by: Qi, Penghui, et al.
Published: (2025)
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference
by: Fu, Qichen, et al.
Published: (2024)
by: Fu, Qichen, et al.
Published: (2024)
Training Proactive and Personalized LLM Agents
by: Sun, Weiwei, et al.
Published: (2025)
by: Sun, Weiwei, et al.
Published: (2025)
Star Attention: Efficient LLM Inference over Long Sequences
by: Acharya, Shantanu, et al.
Published: (2024)
by: Acharya, Shantanu, et al.
Published: (2024)
Speculative Streaming: Fast LLM Inference without Auxiliary Models
by: Bhendawade, Nikhil, et al.
Published: (2024)
by: Bhendawade, Nikhil, et al.
Published: (2024)
Vidur: A Large-Scale Simulation Framework For LLM Inference
by: Agrawal, Amey, et al.
Published: (2024)
by: Agrawal, Amey, et al.
Published: (2024)
KV Cache Transform Coding for Compact Storage in LLM Inference
by: Staniszewski, Konrad, et al.
Published: (2025)
by: Staniszewski, Konrad, et al.
Published: (2025)
Concurrent Criterion Validation of a Validity Screen for LLM Confidence Signals via Selective Prediction
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers
by: Ma, Wenhan, et al.
Published: (2025)
by: Ma, Wenhan, et al.
Published: (2025)
Reparameterized LLM Training via Orthogonal Equivalence Transformation
by: Qiu, Zeju, et al.
Published: (2025)
by: Qiu, Zeju, et al.
Published: (2025)
Memory-Efficient LLM Training with Online Subspace Descent
by: Liang, Kaizhao, et al.
Published: (2024)
by: Liang, Kaizhao, et al.
Published: (2024)
SABER: Switchable and Balanced Training for Efficient LLM Reasoning
by: Zhao, Kai, et al.
Published: (2025)
by: Zhao, Kai, et al.
Published: (2025)
Scaling with Collapse: Efficient and Predictable Training of LLM Families
by: Bergsma, Shane, et al.
Published: (2025)
by: Bergsma, Shane, et al.
Published: (2025)
Training-free LLM Merging for Multi-task Learning
by: Fu, Zichuan, et al.
Published: (2025)
by: Fu, Zichuan, et al.
Published: (2025)
TTKV: Temporal-Tiered KV Cache for Long-Context LLM Inference
by: Dzikanyanga, Gradwell, et al.
Published: (2026)
by: Dzikanyanga, Gradwell, et al.
Published: (2026)
Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference
by: Taniguchi, Rei, et al.
Published: (2026)
by: Taniguchi, Rei, et al.
Published: (2026)
Optimal Singular Damage: Efficient LLM Inference in Low Storage Regimes
by: Alipour, Mohammadsajad, et al.
Published: (2025)
by: Alipour, Mohammadsajad, et al.
Published: (2025)
PQCache: Product Quantization-based KVCache for Long Context LLM Inference
by: Zhang, Hailin, et al.
Published: (2024)
by: Zhang, Hailin, et al.
Published: (2024)
ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity
by: Bae, Henry, et al.
Published: (2023)
by: Bae, Henry, et al.
Published: (2023)
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
by: Wen, Zhuofan, et al.
Published: (2024)
by: Wen, Zhuofan, et al.
Published: (2024)
Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
by: Timor, Nadav, et al.
Published: (2025)
by: Timor, Nadav, et al.
Published: (2025)
FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
by: Liu, Guangda, et al.
Published: (2025)
by: Liu, Guangda, et al.
Published: (2025)
Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference
by: Adamska, Marta, et al.
Published: (2025)
by: Adamska, Marta, et al.
Published: (2025)
OpenELM: An Efficient Language Model Family with Open Training and Inference Framework
by: Mehta, Sachin, et al.
Published: (2024)
by: Mehta, Sachin, et al.
Published: (2024)
The Impact of Language Mixing on Bilingual LLM Reasoning
by: Li, Yihao, et al.
Published: (2025)
by: Li, Yihao, et al.
Published: (2025)
Towards Sustainable Artificial Intelligence: An Overview of Environmental Protection Uses and Issues
by: Pachot, Arnault, et al.
Published: (2022)
by: Pachot, Arnault, et al.
Published: (2022)
Screening Is Enough
by: Nakanishi, Ken M.
Published: (2026)
by: Nakanishi, Ken M.
Published: (2026)
xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
by: Beck, Maximilian, et al.
Published: (2025)
by: Beck, Maximilian, et al.
Published: (2025)
CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification
by: He, Junhui, et al.
Published: (2024)
by: He, Junhui, et al.
Published: (2024)
Similar Items
-
Llms, Virtual Users, and Bias: Predicting Any Survey Question Without Human Data
by: Sinacola, Enzo, et al.
Published: (2025) -
Exact Synthetic Populations for Scalable Societal and Market Modeling
by: Petit, Thierry, et al.
Published: (2025) -
Declarative Integration and Management of Large Language Models through Finite Automata: Application to Automation, Communication, and Ethics
by: Petit, Thierry, et al.
Published: (2024) -
Diagnosing Training Inference Mismatch in LLM Reinforcement Learning
by: Zhong, Tianle, et al.
Published: (2026) -
PITA: Preference-Guided Inference-Time Alignment for LLM Post-Training
by: Bobbili, Sarat Chandra, et al.
Published: (2025)