Induced Numerical Instability: Hidden Costs in Multimodal Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wong, Wai Tuck, Sun, Jun, Sinha, Arunesh |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models
by: Wong, K., et al.
Published: (2025)
by: Wong, K., et al.
Published: (2025)
Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language Models
by: Sun, Shaoning, et al.
Published: (2026)
by: Sun, Shaoning, et al.
Published: (2026)
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
by: Sinha, Neelabh, et al.
Published: (2024)
by: Sinha, Neelabh, et al.
Published: (2024)
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
by: Khan, Rana Muhammad Shahroz, et al.
Published: (2024)
by: Khan, Rana Muhammad Shahroz, et al.
Published: (2024)
Introducing Background Temperature to Characterise Hidden Randomness in Large Language Models
by: Messina, Alberto, et al.
Published: (2026)
by: Messina, Alberto, et al.
Published: (2026)
GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification
by: Sinha, Aarush
Published: (2025)
by: Sinha, Aarush
Published: (2025)
On Speculative Decoding for Multimodal Large Language Models
by: Gagrani, Mukul, et al.
Published: (2024)
by: Gagrani, Mukul, et al.
Published: (2024)
Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
by: Baumann, Joachim, et al.
Published: (2025)
by: Baumann, Joachim, et al.
Published: (2025)
Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance
by: Tuck, Bryan E., et al.
Published: (2025)
by: Tuck, Bryan E., et al.
Published: (2025)
Instruction Following by Principled Boosting Attention of Large Language Models
by: Guardieiro, Vitoria, et al.
Published: (2025)
by: Guardieiro, Vitoria, et al.
Published: (2025)
Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning
by: Yue, Murong, et al.
Published: (2023)
by: Yue, Murong, et al.
Published: (2023)
Layer by Layer: Uncovering Hidden Representations in Language Models
by: Skean, Oscar, et al.
Published: (2025)
by: Skean, Oscar, et al.
Published: (2025)
Evaluating Computational Accuracy of Large Language Models in Numerical Reasoning Tasks for Healthcare Applications
by: Malghan, Arjun R.
Published: (2025)
by: Malghan, Arjun R.
Published: (2025)
Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
by: Li, Hongji, et al.
Published: (2025)
by: Li, Hongji, et al.
Published: (2025)
Large Multimodal Models for Low-Resource Languages: A Survey
by: Lupascu, Marian, et al.
Published: (2025)
by: Lupascu, Marian, et al.
Published: (2025)
To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples
by: Kothapalli, Vignesh, et al.
Published: (2025)
by: Kothapalli, Vignesh, et al.
Published: (2025)
Large Language Models as Computable Approximations to Solomonoff Induction
by: Wan, Jun, et al.
Published: (2025)
by: Wan, Jun, et al.
Published: (2025)
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
by: Min, Nay Myat, et al.
Published: (2024)
by: Min, Nay Myat, et al.
Published: (2024)
The Bicameral Model: Bidirectional Hidden-State Coupling Between Parallel Language Models
by: Flamant, Cedric, et al.
Published: (2026)
by: Flamant, Cedric, et al.
Published: (2026)
Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
by: Cao, Sheng, et al.
Published: (2025)
by: Cao, Sheng, et al.
Published: (2025)
Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges
by: Shrestha, Safal, et al.
Published: (2025)
by: Shrestha, Safal, et al.
Published: (2025)
Multi-Step Reasoning with Large Language Models, a Survey
by: Plaat, Aske, et al.
Published: (2024)
by: Plaat, Aske, et al.
Published: (2024)
Hidden State Poisoning Attacks against Mamba-based Language Models
by: Mercier, Alexandre Le, et al.
Published: (2026)
by: Mercier, Alexandre Le, et al.
Published: (2026)
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
by: Ghandeharioun, Asma, et al.
Published: (2024)
by: Ghandeharioun, Asma, et al.
Published: (2024)
Value-Aware Numerical Representations for Transformer Language Models
by: Dutulescu, Andreea, et al.
Published: (2026)
by: Dutulescu, Andreea, et al.
Published: (2026)
Laying Anchors: Semantically Priming Numerals in Language Modeling
by: Sharma, Mandar, et al.
Published: (2024)
by: Sharma, Mandar, et al.
Published: (2024)
A Survey on Multimodal Large Language Models
by: Yin, Shukang, et al.
Published: (2023)
by: Yin, Shukang, et al.
Published: (2023)
Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs
by: Lu, Yuxiao, et al.
Published: (2024)
by: Lu, Yuxiao, et al.
Published: (2024)
Lying Is Just a Phase: The Hidden Alignment Transition in Language Model Scaling
by: Amin, Adil
Published: (2026)
by: Amin, Adil
Published: (2026)
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models
by: Park, Jean, et al.
Published: (2024)
by: Park, Jean, et al.
Published: (2024)
IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities
by: Wang, Bin, et al.
Published: (2024)
by: Wang, Bin, et al.
Published: (2024)
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
by: Zhang, Jianyi, et al.
Published: (2024)
by: Zhang, Jianyi, et al.
Published: (2024)
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
by: Yang, Runming, et al.
Published: (2024)
by: Yang, Runming, et al.
Published: (2024)
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
by: Zou, Jiaru, et al.
Published: (2024)
by: Zou, Jiaru, et al.
Published: (2024)
APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models
by: Guan, Ziyi, et al.
Published: (2024)
by: Guan, Ziyi, et al.
Published: (2024)
Sample-aware Adaptive Structured Pruning for Large Language Models
by: Kong, Jun, et al.
Published: (2025)
by: Kong, Jun, et al.
Published: (2025)
Integration of Large Language Models and Federated Learning
by: Chen, Chaochao, et al.
Published: (2023)
by: Chen, Chaochao, et al.
Published: (2023)
Reviving The Classics: Active Reward Modeling in Large Language Model Alignment
by: Shen, Yunyi, et al.
Published: (2025)
by: Shen, Yunyi, et al.
Published: (2025)
UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models
by: Oh, Sejoon, et al.
Published: (2024)
by: Oh, Sejoon, et al.
Published: (2024)
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Similar Items
-
Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models
by: Wong, K., et al.
Published: (2025) -
Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language Models
by: Sun, Shaoning, et al.
Published: (2026) -
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
by: Sinha, Neelabh, et al.
Published: (2024) -
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
by: Khan, Rana Muhammad Shahroz, et al.
Published: (2024) -
Introducing Background Temperature to Characterise Hidden Randomness in Large Language Models
by: Messina, Alberto, et al.
Published: (2026)