Foundation Models

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models EMNLP 2024 Auto-Evolve: Enhancing Large Language Model’s Performance via Self-Reasoning Framework EMNLP 2024 AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models AutoML 2024 Automated Essay Scoring: Recent Successes and Future Directions IJCAI 2024 Automated Multi-level Preference for MLLMs NeurIPS 2024 Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract) AAAI 2024 Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis EMNLP 2024 Automatically Learning Hybrid Digital Twins of Dynamical Systems NeurIPS 2024 Automatic Classification of News Subjects in Broadcast News: Application to a Gender Bias Representation Analysis Interspeech 2024 Automatic Pair Construction for Contrastive Post-training NAACL 2024 Automating Dataset Production Using Generative Text and Image Models COLING 2024 Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models NeurIPS 2024 AutoMix: Automatically Mixing Language Models NeurIPS 2024 AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data AAAI 2024 Autonomous Improvement of Instruction Following Skills via Foundation Models CoRL 2024 AutoPSV: Automated Process-Supervised Verifier NeurIPS 2024 AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024 Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards EMNLP 2024 Autoregressive Score Generation for Multi-trait Essay Scoring EACL 2024 AutoTimes: Autoregressive Time Series Forecasters via Large Language Models NeurIPS 2024 AVR: synergizing foundation models for audio-visual humor detection Interspeech 2024 Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs ACL 2024 BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models COLING 2024 BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024 Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024