Cover Image

LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shabtay, Nimrod, Polo, Felipe Maia, Doveh, Sivan, Lin, Wei, Mirza, M. Jehanzeb, Chosen, Leshem, Yurochkin, Mikhail, Sun, Yuekai, Arbelle, Assaf, Karlinsky, Leonid, Giryes, Raja
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Teaching VLMs to Localize Specific Objects from In-context Examples
by: Doveh, Sivan, et al.
Published: (2024)

MAEDAY: MAE for few and zero shot AnomalY-Detection
by: Schwartz, Eli, et al.
Published: (2022)

NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning
by: Schwartz, Eli, et al.
Published: (2024)

Comparison Visual Instruction Tuning
by: Lin, Wei, et al.
Published: (2024)

Towards Multimodal In-Context Learning for Vision & Language Models
by: Doveh, Sivan, et al.
Published: (2024)

Deep Phase Coded Image Prior
by: Shabtay, Nimrod, et al.
Published: (2024)

PIP: Positional-encoding Image Prior
by: Shabtay, Nimrod, et al.
Published: (2022)

Overflow Prevention Enhances Long-Context Recurrent LLMs
by: Ben-Kish, Assaf, et al.
Published: (2025)

Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families
by: Polo, Felipe Maia, et al.
Published: (2024)

Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
by: Mirza, M. Jehanzeb, et al.
Published: (2024)

tinyBenchmarks: evaluating LLMs with fewer examples
by: Polo, Felipe Maia, et al.
Published: (2024)

CLIMP: Contrastive Language-Image Mamba Pretraining
by: Shabtay, Nimrod, et al.
Published: (2026)

3VL: Using Trees to Improve Vision-Language Models' Interpretability
by: Yellinek, Nir, et al.
Published: (2023)

Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation
by: Spoecklberger, Johannes, et al.
Published: (2025)

ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
by: Huang, Irene, et al.
Published: (2024)

Spoken question answering for visual queries
by: Shabtay, Nimrod, et al.
Published: (2025)

CARES: Context-Aware Resolution Selector for VLMs
by: Kimhi, Moshe, et al.
Published: (2025)

Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement
by: Shtok, Joseph, et al.
Published: (2024)

Weak Supervision Performance Evaluation via Partial Identification
by: Polo, Felipe Maia, et al.
Published: (2023)

Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs
by: Shabtay, Nimrod, et al.
Published: (2026)

Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
by: Huang, Brandon, et al.
Published: (2024)

Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
by: Polo, Felipe Maia, et al.
Published: (2025)

Fusing Models with Complementary Expertise
by: Wang, Hongyi, et al.
Published: (2023)

Unforgettable Generalization in Language Models
by: Zhang, Eric, et al.
Published: (2024)

PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies
by: Selch, Lukas, et al.
Published: (2025)

A transfer learning framework for weak-to-strong generalization
by: Somerstep, Seamus, et al.
Published: (2024)

Efficient multi-prompt evaluation of LLMs
by: Polo, Felipe Maia, et al.
Published: (2024)

A Latent Variable Framework for Scaling Laws in Large Language Models
by: Cai, Peiyao, et al.
Published: (2025)

Prompt Exploration with Prompt Regression
by: Feffer, Michael, et al.
Published: (2024)

GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
by: Mirza, M. Jehanzeb, et al.
Published: (2024)

VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes
by: Gavrikov, Paul, et al.
Published: (2025)

TTRV: Test-Time Reinforcement Learning for Vision Language Models
by: Singh, Akshit, et al.
Published: (2025)

Limitations of refinement methods for weak to strong generalization
by: Somerstep, Seamus, et al.
Published: (2025)

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features
by: Mitra, Chancharik, et al.
Published: (2024)

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion
by: Hansen, Jacob, et al.
Published: (2025)

Aligners: Decoupling LLMs and Alignment
by: Ngweta, Lilian, et al.
Published: (2024)

Who Said Neural Networks Aren't Linear?
by: Berman, Nimrod, et al.
Published: (2025)

Live Your Life in This Way
by: Mirza Mustaq Beg, and Jinendra Sahu
Published: (2025)

Activation Reward Models for Few-Shot Model Alignment
by: Chai, Tianning, et al.
Published: (2025)

Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models
by: Cohen, Ido, et al.
Published: (2024)