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579 In this paper, we have proposed a novel counter- factual framework CLEVER for debiasing fact- checking models. Unlike existing works, CLEVER is augmentation-free and mitigates …
Alias-Free Mamba Neural Operator | OpenReview
Sep 25, 2024 · To counteract the dilemma, we propose a mamba neural operator with O (N) computational complexity, namely MambaNO. Functionally, MambaNO achieves a clever …
Measuring Mathematical Problem Solving With the MATH Dataset
Oct 18, 2021 · Abstract: Many intellectual endeavors require mathematical problem solving, but this skill remains beyond the capabilities of computers. To measure this ability in machine …
DEBERTA: DECODING-ENHANCED BERT WITH …
Jan 12, 2021 · Recent progress in pre-trained neural language models has significantly improved the performance of many natural language processing (NLP) tasks. In this paper we propose a …
LLaVA-OneVision: Easy Visual Task Transfer | OpenReview
Feb 9, 2025 · We present LLaVA-OneVision, a family of open large multimodal models (LMMs) developed by consolidating our insights into data, models, and visual representations in the …
Weakly-Supervised Affordance Grounding Guided by Part-Level...
Jan 22, 2025 · In this work, we focus on the task of weakly supervised affordance grounding, where a model is trained to identify affordance regions on objects using human-object …
Training Large Language Model to Reason in a Continuous …
Sep 26, 2024 · Large language models are restricted to reason in the “language space”, where they typically express the reasoning process with a chain-of-thoughts (CoT) to solve a …
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 …
MIND over Body: Adaptive Thinking using Dynamic Computation
Jan 22, 2025 · Clever use of intermediate activations to assess input complexity. Should be able to work with existing architectures making engineering it for downstream real-world use cases …
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. …
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