LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression
Fuente:
arXiv
Saved in:
| Main Authors: | Kundu, Souvik, Bhiwandiwalla, Anahita, Yu, Sungduk, Howard, Phillip, Le, Tiep, Sridhar, Sharath Nittur, Cobbley, David, Kang, Hao, Lal, Vasudev |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
by: Howard, Phillip, et al.
Published: (2023)
by: Howard, Phillip, et al.
Published: (2023)
Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
by: Yu, Sungduk, et al.
Published: (2025)
by: Yu, Sungduk, et al.
Published: (2025)
Why do LLaVA Vision-Language Models Reply to Images in English?
by: Hinck, Musashi, et al.
Published: (2024)
by: Hinck, Musashi, et al.
Published: (2024)
LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
by: Stan, Gabriela Ben Melech, et al.
Published: (2024)
by: Stan, Gabriela Ben Melech, et al.
Published: (2024)
Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
by: Yu, Sungduk, et al.
Published: (2024)
by: Yu, Sungduk, et al.
Published: (2024)
Cultural Awareness in Vision-Language Models: A Cross-Country Exploration
by: Madasu, Avinash, et al.
Published: (2025)
by: Madasu, Avinash, et al.
Published: (2025)
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals
by: Howard, Phillip, et al.
Published: (2024)
by: Howard, Phillip, et al.
Published: (2024)
Uncovering Bias in Large Vision-Language Models with Counterfactuals
by: Howard, Phillip, et al.
Published: (2024)
by: Howard, Phillip, et al.
Published: (2024)
ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution
by: Yu, Sungduk, et al.
Published: (2024)
by: Yu, Sungduk, et al.
Published: (2024)
DPO Learning with LLMs-Judge Signal for Computer Use Agents
by: Luo, Man, et al.
Published: (2025)
by: Luo, Man, et al.
Published: (2025)
Harnessing Object Grounding for Time-Sensitive Video Understanding
by: Wu, Tz-Ying, et al.
Published: (2025)
by: Wu, Tz-Ying, et al.
Published: (2025)
Pruning the Paradox: How CLIP's Most Informative Heads Enhance Performance While Amplifying Bias
by: Madasu, Avinash, et al.
Published: (2025)
by: Madasu, Avinash, et al.
Published: (2025)
EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs
by: Rodin, Ivan, et al.
Published: (2025)
by: Rodin, Ivan, et al.
Published: (2025)
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
by: Hinck, Musashi, et al.
Published: (2024)
by: Hinck, Musashi, et al.
Published: (2024)
Quantifying and Enabling the Interpretability of CLIP-like Models
by: Madasu, Avinash, et al.
Published: (2024)
by: Madasu, Avinash, et al.
Published: (2024)
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning
by: Su, Xin, et al.
Published: (2023)
by: Su, Xin, et al.
Published: (2023)
Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations
by: Ratzlaff, Neale, et al.
Published: (2024)
by: Ratzlaff, Neale, et al.
Published: (2024)
A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
by: Rohekar, Raanan Y., et al.
Published: (2024)
by: Rohekar, Raanan Y., et al.
Published: (2024)
Toward Scalable Video Narration: A Training-free Approach Using Multimodal Large Language Models
by: Wu, Tz-Ying, et al.
Published: (2025)
by: Wu, Tz-Ying, et al.
Published: (2025)
A Semantic Parsing Framework for End-to-End Time Normalization
by: Su, Xin, et al.
Published: (2025)
by: Su, Xin, et al.
Published: (2025)
Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning
by: Ratzlaff, Neale, et al.
Published: (2024)
by: Ratzlaff, Neale, et al.
Published: (2024)
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge
by: Howard, Phillip, et al.
Published: (2023)
by: Howard, Phillip, et al.
Published: (2023)
Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers
by: Ma, Ji, et al.
Published: (2025)
by: Ma, Ji, et al.
Published: (2025)
Hybrid Verified Decoding: Learning to Allocate Verification in Speculative Decoding
by: Su, Xin, et al.
Published: (2026)
by: Su, Xin, et al.
Published: (2026)
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM
by: Kang, Hao, et al.
Published: (2024)
by: Kang, Hao, et al.
Published: (2024)
Probing the Representational Power of Sparse Autoencoders in Vision Models
by: Olson, Matthew Lyle, et al.
Published: (2025)
by: Olson, Matthew Lyle, et al.
Published: (2025)
Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders
by: Olson, Matthew Lyle, et al.
Published: (2025)
by: Olson, Matthew Lyle, et al.
Published: (2025)
ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models
by: Madasu, Avinash, et al.
Published: (2023)
by: Madasu, Avinash, et al.
Published: (2023)
SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs
by: Su, Xin, et al.
Published: (2024)
by: Su, Xin, et al.
Published: (2024)
FiVL: A Framework for Improved Vision-Language Alignment through the Lens of Training, Evaluation and Explainability
by: Aflalo, Estelle, et al.
Published: (2024)
by: Aflalo, Estelle, et al.
Published: (2024)
Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration
by: Shen, Jucheng, et al.
Published: (2025)
by: Shen, Jucheng, et al.
Published: (2025)
Scaling Knowledge Graph Construction through Synthetic Data Generation and Distillation
by: Choubey, Prafulla Kumar, et al.
Published: (2024)
by: Choubey, Prafulla Kumar, et al.
Published: (2024)
Probing Semantic Routing in Large Mixture-of-Expert Models
by: Olson, Matthew Lyle, et al.
Published: (2025)
by: Olson, Matthew Lyle, et al.
Published: (2025)
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation
by: Rosenman, Shachar, et al.
Published: (2023)
by: Rosenman, Shachar, et al.
Published: (2023)
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation
by: Hwang, Yerin, et al.
Published: (2025)
by: Hwang, Yerin, et al.
Published: (2025)
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
by: Nathaniel, Juan, et al.
Published: (2024)
by: Nathaniel, Juan, et al.
Published: (2024)
Fwd2Bot: LVLM Visual Token Compression with Double Forward Bottleneck
by: Bulat, Adrian, et al.
Published: (2025)
by: Bulat, Adrian, et al.
Published: (2025)
Debias your Large Multi-Modal Model at Test-Time via Non-Contrastive Visual Attribute Steering
by: Ratzlaff, Neale, et al.
Published: (2024)
by: Ratzlaff, Neale, et al.
Published: (2024)
BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning
by: Xu, Xiao, et al.
Published: (2022)
by: Xu, Xiao, et al.
Published: (2022)
LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models
by: Sarah, Anthony, et al.
Published: (2024)
by: Sarah, Anthony, et al.
Published: (2024)
Similar Items
-
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
by: Howard, Phillip, et al.
Published: (2023) -
Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
by: Yu, Sungduk, et al.
Published: (2025) -
Why do LLaVA Vision-Language Models Reply to Images in English?
by: Hinck, Musashi, et al.
Published: (2024) -
LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
by: Stan, Gabriela Ben Melech, et al.
Published: (2024) -
Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
by: Yu, Sungduk, et al.
Published: (2024)