conftrace_

foundation model

735 papers

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Also known as

FMS FM

Co-occurring keywords

multimodal learning (4645) zero-shot learning (3650) transfer learning (5449) large language model (13587) semantic segmentation (3186) vision-language model (2348) self-supervised learning (3777) representation learning (6206) domain adaptation (4595) few-shot learning (3398)

Papers

Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision CVPR 2024
Domain Prompt Learning with Quaternion Networks CVPR 2024
OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models NAACL 2024
Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey ACL 2024
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model ACL 2024
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks CVPR 2024
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages ACL 2024
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory NIPS 2024
MAMET at SemEval-2024 Task 7: Supervised Enhanced Reasoning Agent Model NAACL 2024
Prompting Multi-Modal Image Segmentation with Semantic Grouping AAAI 2024
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE AAAI 2024
PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology AAAI 2024
A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models EMNLP 2024
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM NIPS 2024
Revisiting Few-Shot Object Detection with Vision-Language Models NIPS 2024
SCITUNE: Aligning Large Language Models with Human-Curated Scientific Multimodal Instructions EMNLP 2024
Using Large Language Models for Understanding Narrative Discourse EMNLP 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models NIPS 2024
DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024
Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024
EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control EMNLP 2024
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024
Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models AAAI 2024
Parameter Efficient Self-Supervised Geospatial Domain Adaptation CVPR 2024