Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs
Fuente:
arXiv
Saved in:
| Main Authors: | Balter, Samuel G., Jerzak, Ethan, Jerzak, Connor T. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Can Large Language Models (or Humans) Disentangle Text?
by: de Pieuchon, Nicolas Audinet, et al.
Published: (2024)
by: de Pieuchon, Nicolas Audinet, et al.
Published: (2024)
Can LLMs Compute with Reasons?
by: Sandilya, Harshit, et al.
Published: (2024)
by: Sandilya, Harshit, et al.
Published: (2024)
Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework
by: Sun, Jingyi, et al.
Published: (2024)
by: Sun, Jingyi, et al.
Published: (2024)
Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models
by: Pan, Leyi, et al.
Published: (2025)
by: Pan, Leyi, et al.
Published: (2025)
LLMs for Legal Subsumption in German Employment Contracts
by: Wardas, Oliver, et al.
Published: (2025)
by: Wardas, Oliver, et al.
Published: (2025)
Profiling German Text Simplification with Interpretable Model-Fingerprints
by: Klöser, Lars, et al.
Published: (2026)
by: Klöser, Lars, et al.
Published: (2026)
A Survey of Text Watermarking in the Era of Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)
by: Liu, Aiwei, et al.
Published: (2023)
Contrasting Linguistic Patterns in Human and LLM-Generated News Text
by: Muñoz-Ortiz, Alberto, et al.
Published: (2023)
by: Muñoz-Ortiz, Alberto, et al.
Published: (2023)
When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
by: Wang, Yongjie, et al.
Published: (2025)
by: Wang, Yongjie, et al.
Published: (2025)
Prior-based Noisy Text Data Filtering: Fast and Strong Alternative For Perplexity
by: Seo, Yeongbin, et al.
Published: (2025)
by: Seo, Yeongbin, et al.
Published: (2025)
The Unlikely Duel: Evaluating Creative Writing in LLMs through a Unique Scenario
by: Gómez-Rodríguez, Carlos, et al.
Published: (2024)
by: Gómez-Rodríguez, Carlos, et al.
Published: (2024)
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
by: Fang, Xi, et al.
Published: (2024)
by: Fang, Xi, et al.
Published: (2024)
Charting a Decade of Computational Linguistics in Italy: The CLiC-it Corpus
by: Alzetta, Chiara, et al.
Published: (2025)
by: Alzetta, Chiara, et al.
Published: (2025)
Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages
by: Alam, Firoj, et al.
Published: (2026)
by: Alam, Firoj, et al.
Published: (2026)
A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bangla Texts
by: Elahi, Kazi Toufique, et al.
Published: (2024)
by: Elahi, Kazi Toufique, et al.
Published: (2024)
PaperAudit-Bench: Benchmarking Error Detection in Research Papers for Critical Automated Peer Review
by: Tu, Songjun, et al.
Published: (2026)
by: Tu, Songjun, et al.
Published: (2026)
Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
by: Nguyen, Minh Hoang, et al.
Published: (2025)
by: Nguyen, Minh Hoang, et al.
Published: (2025)
How much do LLMs learn from negative examples?
by: Hamdan, Shadi, et al.
Published: (2025)
by: Hamdan, Shadi, et al.
Published: (2025)
NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)
New Skills or Sharper Primitives? A Probabilistic Perspective on the Emergence of Reasoning in RLVR
by: Wang, Zhilin, et al.
Published: (2026)
by: Wang, Zhilin, et al.
Published: (2026)
Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsing
by: Fernández-González, Daniel, et al.
Published: (2026)
by: Fernández-González, Daniel, et al.
Published: (2026)
Parametric Social Identity Injection and Diversification in Public Opinion Simulation
by: Wang, Hexi, et al.
Published: (2026)
by: Wang, Hexi, et al.
Published: (2026)
Compression Method Matters: Benchmark-Dependent Output Dynamics in LLM Prompt Compression
by: Johnson, Warren
Published: (2026)
by: Johnson, Warren
Published: (2026)
Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis
by: Friedman, Scott, et al.
Published: (2026)
by: Friedman, Scott, et al.
Published: (2026)
Optimizing What We Trust: Reliability-Guided QUBO Selection of Multi-Agent Weak Framing Signals for Arabic Sentiment Prediction
by: Alkhalifa, Rabab
Published: (2026)
by: Alkhalifa, Rabab
Published: (2026)
Prompt Compression in Production Task Orchestration: A Pre-Registered Randomized Trial
by: Johnson, Warren, et al.
Published: (2026)
by: Johnson, Warren, et al.
Published: (2026)
Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation
by: Salim, Luis Frentzen, et al.
Published: (2026)
by: Salim, Luis Frentzen, et al.
Published: (2026)
Adaptive Steering and Remasking for Safe Generation in Diffusion Language Models
by: Lee, Yejin, et al.
Published: (2026)
by: Lee, Yejin, et al.
Published: (2026)
The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings
by: Goldin, Gili, et al.
Published: (2024)
by: Goldin, Gili, et al.
Published: (2024)
Math Natural Language Inference: this should be easy!
by: de Paiva, Valeria, et al.
Published: (2025)
by: de Paiva, Valeria, et al.
Published: (2025)
Fast Quiet-STaR: Thinking Without Thought Tokens
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models
by: Pan, Leyi, et al.
Published: (2025)
by: Pan, Leyi, et al.
Published: (2025)
Towards Effective and Efficient Continual Pre-training of Large Language Models
by: Chen, Jie, et al.
Published: (2024)
by: Chen, Jie, et al.
Published: (2024)
An Unforgeable Publicly Verifiable Watermark for Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)
by: Liu, Aiwei, et al.
Published: (2023)
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
by: Liu, Aiwei, et al.
Published: (2024)
by: Liu, Aiwei, et al.
Published: (2024)
SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity
by: Kim, Jaemin, et al.
Published: (2024)
by: Kim, Jaemin, et al.
Published: (2024)
Trusted Uncertainty in Large Language Models: A Unified Framework for Confidence Calibration and Risk-Controlled Refusal
by: Oehri, Markus, et al.
Published: (2025)
by: Oehri, Markus, et al.
Published: (2025)
AI-assisted German Employment Contract Review: A Benchmark Dataset
by: Wardas, Oliver, et al.
Published: (2025)
by: Wardas, Oliver, et al.
Published: (2025)
The Superalignment of Superhuman Intelligence with Large Language Models
by: Huang, Minlie, et al.
Published: (2024)
by: Huang, Minlie, et al.
Published: (2024)
ScoreRAG: A Retrieval-Augmented Generation Framework with Consistency-Relevance Scoring and Structured Summarization for News Generation
by: Lin, Pei-Yun, et al.
Published: (2025)
by: Lin, Pei-Yun, et al.
Published: (2025)
Similar Items
-
Can Large Language Models (or Humans) Disentangle Text?
by: de Pieuchon, Nicolas Audinet, et al.
Published: (2024) -
Can LLMs Compute with Reasons?
by: Sandilya, Harshit, et al.
Published: (2024) -
Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework
by: Sun, Jingyi, et al.
Published: (2024) -
Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models
by: Pan, Leyi, et al.
Published: (2025) -
LLMs for Legal Subsumption in German Employment Contracts
by: Wardas, Oliver, et al.
Published: (2025)