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Papers (including subtopics)

Toward Open-Set Human Object Interaction Detection AAAI 2024 Towards Aligning Language Models with Textual Feedback EMNLP 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024 Towards a Resilient Intelligent Automation System IJCAI 2024 Towards Autonomous Tool Utilization in Language Models: A Unified, Efficient and Scalable Framework COLING 2024 Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning ICLR 2024 Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration NeurIPS 2024 Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation IJCAI 2024 Towards Efficient Replay in Federated Incremental Learning CVPR 2024 Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks EMNLP 2024 Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering ACL 2024 Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning ICLR 2024 Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation COLING 2024 Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation NAACL 2024 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets ICLR 2024 Towards Human-like Learning from Relational Structured Data AAAI 2024 Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024 Towards Low-Resource Harmful Meme Detection with LMM Agents EMNLP 2024 Towards Modular LLMs by Building and Reusing a Library of LoRAs ICML 2024 Towards Online Continuous Sign Language Recognition and Translation EMNLP 2024 Towards Principled Representation Learning from Videos for Reinforcement Learning ICLR 2024 Towards Robust Speech Representation Learning for Thousands of Languages EMNLP 2024 Towards Robust Temporal Activity Localization Learning with Noisy Labels COLING 2024 Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning ACL 2024 Towards safe multi-task Bayesian optimization L4DC 2024