conftrace_

multi-task model

14 papers

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Co-occurring keywords · papers mentioning both

multi-task learning (7) model merging (6) large language model (3) task-specific model (2) transfer learning (2) modular knowledge (1) task-specific knowledge (1) dynamic integration (1) knowledge compression (1) information seeking (1)

Papers

Why Do More Experts Fail? A Theoretical Analysis of Model Merging ACL 2026 HiTZ at VarDial 2025 NorSID: Overcoming Data Scarcity with Language Transfer and Automatic Data Annotation COLING 2025 To See a World in a Spark of Neuron: Disentangling Multi-Task Interference for Training-Free Model Merging EMNLP 2025 Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging ACL 2025 Arcee’s MergeKit: A Toolkit for Merging Large Language Models EMNLP 2024 Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation EMNLP 2024 Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging NeurIPS 2024 Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties AAAI 2024 ZipIt! Merging Models from Different Tasks without Training ICLR 2024 IOL Research’s Submission for WMT 2023 Quality Estimation Shared Task EMNLP 2023 Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity EMNLP 2020 Multi-Speaker Video Dialog with Frame-Level Temporal Localization AAAI 2020 Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model EMNLP 2019 SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes ICCV 2019