Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.orgยท1d
๐งSystems-level optimizations for LLM serving
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Algorithmic Assistance with Recommendation-Dependent Preferences
arxiv.orgยท1d
๐ง Large Language Models (LLMs)
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Can MLLMs Read the Room? A Multimodal Benchmark for Verifying Truthfulness in Multi-Party Social Interactions
arxiv.orgยท2d
๐ง Large Language Models (LLMs)
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OmniBrainBench: A Comprehensive Multimodal Benchmark for Brain Imaging Analysis Across Multi-stage Clinical Tasks
arxiv.orgยท1d
๐AI Performance Profiling
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SciTextures: Collecting and Connecting Visual Patterns, Models, and Code Across Science and Art
arxiv.orgยท1d
๐AI Performance Profiling
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Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
arxiv.orgยท1d
๐AI Performance Profiling
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.orgยท1d
๐ง Large Language Models (LLMs)
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Gen AI in Automotive: Applications, Challenges, and Opportunities with a Case study on In-Vehicle Experience
arxiv.orgยท1d
โกReal-time AI Systems
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Application of predictive machine learning in pen & paper RPG game design
arxiv.orgยท1d
๐AI Performance Profiling
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Learning Complementary Policies for Human-AI Teams
arxiv.orgยท1d
โกReal-time AI Systems
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Tackling the Kidnapped Robot Problem via Sparse Feasible Hypothesis Sampling and Reliable Batched Multi-Stage Inference
arxiv.orgยท1d
โกReal-time AI Systems
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Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
arxiv.orgยท2d
๐ง Large Language Models (LLMs)
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Balanced Multimodal Learning via Mutual Information
arxiv.orgยท1d
๐ง Large Language Models (LLMs)
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Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
arxiv.orgยท1d
๐ขQuantization of LLMs
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Terrain-Enhanced Resolution-aware Refinement Attention for Off-Road Segmentation
arxiv.orgยท1d
๐ขQuantization of LLMs
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MoSa: Motion Generation with Scalable Autoregressive Modeling
arxiv.orgยท1d
๐ขQuantization of LLMs
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Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
arxiv.orgยท1d
๐AI Performance Profiling
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Finding Non-Redundant Simpson's Paradox from Multidimensional Data
arxiv.orgยท1d
๐ง Large Language Models (LLMs)
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