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Found 9 papers, 2 papers with code
DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
This process enables us to integrate both informal and formal mathematical reasoning into a unified model.
UGen: Unified Autoregressive Multimodal Model with Progressive Vocabulary Learning
We introduce UGen, a unified autoregressive multimodal model that demonstrates strong performance across text processing, image understanding, and image generation tasks simultaneously.
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
The debate between self-interpretable models and post-hoc explanations for black-box models is central to Explainable AI (XAI).
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
To this end, we propose FunCoder, a code generation framework incorporating the divide-and-conquer strategy with functional consensus.
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP
Based on this benchmark, we conduct experiments on three typical models with three saliency methods, and unveil their strengths and weakness in terms of interpretability.
A Multimodal Sentiment Dataset for Video Recommendation
Based on this, we propose a multimodal sentiment analysis dataset, named baiDu Video Sentiment dataset (DuVideoSenti), and introduce a new sentiment system which is designed to describe the sentimental style of a video on recommendation scenery.
DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation
Therefore, in order to systematically evaluate the factors for building trustworthy systems, we propose a novel and well-annotated sentiment analysis dataset to evaluate robustness and interpretability.
DuReader\_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications
Machine reading comprehension (MRC) is a crucial task in natural language processing and has achieved remarkable advancements.
DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications
Machine reading comprehension (MRC) is a crucial task in natural language processing and has achieved remarkable advancements.
