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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 …
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 …
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 …
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 …
NetMoE: Accelerating MoE Training through Dynamic Sample …
Jan 22, 2025 · 2. Clever design: reformulating the ILP to a weighted bipartite matching / assignment problem and using Hungarian algorithm that has shorter solving time than …
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 …
Eureka: Human-Level Reward Design via Coding Large …
Jan 16, 2024 · Large Language Models (LLMs) have excelled as high-level semantic planners for sequential decision-making tasks. However, harnessing them to learn complex low-level …
DEBERTA: DECODING-ENHANCED BERT WITH …
Jan 12, 2021 · Abstract: Recent progress in pre-trained neural language models has significantly improved the performance of many natural language processing (NLP) tasks. In this paper we …
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. …
Compositional Entailment Learning for Hyperbolic Vision …
Jan 22, 2025 · The central idea is clever and novel – utilizing the hierarchical nature of nouns mentioned in image captions as supervision for a hyperbolic model. The exposition is clear …
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