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Zero-shot Generalization

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/seonghyeonye/tapp

공식 코드

Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following

https://github.com/serendipity1122/pre-trained-model-guided-fine-tuning-for-zero-shot-adversarial-robustness

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Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness

https://github.com/shyammarjit/LR0.FM

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LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models

https://github.com/sjtu-chan-joey/battery-timer

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Foundation Models Knowledge Distillation For Battery Capacity Degradation Forecast

https://github.com/sjunhongshen/tag-llm

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Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains

https://github.com/spaghettisystems/emotion_whisper

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Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speech

https://github.com/srsohn/subtask-graph-execution

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Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies

https://github.com/sssssuperior/vscode

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VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning

https://github.com/stargazerx0/scalekv

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Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression

https://github.com/sumitsk/matrl

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Learning Transferable Cooperative Behavior in Multi-Agent Teams

https://github.com/sunnweiwei/rankgpt

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Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

https://github.com/swedfr/memorizingsam

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Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer

https://github.com/talalwasim/vita-clip

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Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting

https://github.com/tanghulu6/llama3-8b-mob

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Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction

https://github.com/thu-ml/RoboticsDiffusionTransformer

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RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

https://github.com/thudm/p-tuning-v2

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Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers

https://github.com/thuml/CompilerDream

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CompilerDream: Learning a Compiler World Model for General Code Optimization

https://github.com/tianyunyoung/model-fingerprint

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Model Synthesis for Zero-Shot Model Attribution

https://github.com/tidiane-camaret/contextual_rl_zero_shot

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Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning

https://github.com/time-series-foundation-models/lag-llama

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Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

https://github.com/timseizinger/bokehlicious

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Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures

https://github.com/tmlr-group/wca

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Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models

https://github.com/tomekkorbak/compositional-communication-via-template-transfer

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Developmentally motivated emergence of compositional communication via template transfer

https://github.com/tossowski/OLIVE

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OLIVE: Object Level In-Context Visual Embeddings

https://github.com/ucas-vg/sambor

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Boosting Segment Anything Model Towards Open-Vocabulary Learning

https://github.com/ucsb-nlp-chang/diffste

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Improving Diffusion Models for Scene Text Editing with Dual Encoders

https://github.com/ulab-uiuc/iranker

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IRanker: Towards Ranking Foundation Model

https://github.com/ustb-ai3dvip/matsam

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MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large Model

https://github.com/vaishnavmohit/MAREO

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GAMR: A Guided Attention Model for (visual) Reasoning

https://github.com/vimalabs/VIMABench

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VIMA: General Robot Manipulation with Multimodal Prompts

https://github.com/vision4robotics/sam-da

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SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation

https://github.com/vislearn/PrimeDepth

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PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage

https://github.com/vt-nlp/mixlora

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Multimodal Instruction Tuning with Conditional Mixture of LoRA

https://github.com/wang-research-lab/mlan

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MLAN: Language-Based Instruction Tuning Improves Zero-Shot Generalization of Multimodal Large Language Models

https://github.com/wangzhichuan123/teda

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TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment

https://github.com/wellecks/naturalproofs

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NaturalProofs: Mathematical Theorem Proving in Natural Language

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