按需生成常识知识，选择性整合到推理过程，大幅提升NLI性能，AI研究前沿新方法。
arXiv:2507.15100v3 Announce Type: replace-cross Abstract: Natural Language Inference (NLI) determines whether a premise entails, contradicts, or is ne…
大模型能否驾驭概率算子的逻辑推理？这项基准测试给出答案。
arXiv:2607.27405v1 Announce Type: new Abstract: Both expressions of uncertainty and inferences are ubiquitous in natural language, and valid inference…
用自然语言推理约束验证，解决LLM个性化评估中表面匹配和计算成本问题，新范式更可解释。
arXiv:2606.16368v1 Announce Type: cross Abstract: Current evaluation paradigms for Large Language Model (LLM) personalization rely heavily on brittle …
探索代码执行与自然语言推理在算法任务中的优劣比较，前沿研究视角。
arXiv:2606.15589v1 Announce Type: cross Abstract: For tool-augmented language models, comparing natural-language reasoning with code-execution pipelin…
探索非洲语言自然语言推理的提示策略，为低资源NLI提供新思路
arXiv:2606.03304v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly evaluated in multilingual settings, yet their inference …