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016 namely CLEVER, which is augmentation-free 017 and mitigates biases on the inference stage. 018 Specifically, we train a claim-evidence fusion 019 model and a claim-only model …
Alias-Free Mamba Neural Operator - OpenReview
Sep 25, 2024 · Functionally, MambaNO achieves a clever balance between global integration, facilitated by state space model of Mamba that scans the entire function, and local integration, …
Measuring Mathematical Problem Solving With the MATH Dataset
Oct 18, 2021 · To find the limits of Transformers, we collected 12,500 math problems. While a three-time IMO gold medalist got 90%, GPT-3 models got ~5%, with accuracy increasing slowly.
Reasoning of Large Language Models over Knowledge Graphs …
Jan 22, 2025 · While large language models (LLMs) have made significant progress in processing and reasoning over knowledge graphs, current methods suffer from a high non-retrieval rate.
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Dec 19, 2019 · Finally, we study two defense strategies against model extraction—membership classification and API watermarking—which while successful against some adversaries can …
KooNPro: A Variance-Aware Koopman Probabilistic Model
Jan 22, 2025 · The probabilistic forecasting of time series is a well-recognized challenge, particularly in disentangling correlations among interacting time series and addressing the …
Progressive Compression with Universally Quantized Diffusion …
Jan 22, 2025 · Diffusion probabilistic models have achieved mainstream success in many generative modeling tasks, from image generation to inverse problem solving.
LeDex: Training LLMs to Better Self-Debug and Explain Code
Sep 25, 2024 · In the domain of code generation, self-debugging is crucial. It allows LLMs to refine their generated code based on execution feedback.
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Sep 23, 2024 · Low-rank adaptation (LoRA) is a popular parameter-efficient fine-tuning (PEFT) method for large language models (LLMs). In this paper, we analyze the impact of low-rank …
Local-Prompt: Extensible Local Prompts for Few-Shot...
Jan 22, 2025 · Keywords: Out-of-distribution detection, Prompt learning, Vision-language model, Few-shot learning
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