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AI 助力古籍修复：Apollo 大语言模型问世，专门用于解读古希腊莎草纸残片
IT之家 9 月 22 日消息，据 《连线》（WIRED）报道，全球各地高校图书馆保存着数十万份古希腊莎草纸残片，不少残片损毁严重，其内容或许已无法解读；对于其余尚存修复希望的文本，学者只能依靠人工逐条补全缺失的词句完成复原。为加快这项繁重的工作，研究人员开始借助人工智能。 奥地利科学院将于当地时间…
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Training Large Language Models to Reason in a Continuous Latent Space
让AI在潜空间里“默想”而非逐字推演，这项研究颠覆了传统思维链范式
arXiv:2412.06769v4 Announce Type: replace Abstract: Large language models (LLMs) are typically constrained to reason in the language space, where they…
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SelFusion: Self-distillation for Diffusion Language Models
扩散语言模型的自蒸馏新方法登上ACL 2026，生成效率与质量或迎来新突破。
arXiv:2608.22898v1 Announce Type: new Abstract: Diffusion language models (DLMs) alleviate the inherent latency bottleneck of autoregressive (AR) larg…
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ClinicalGPT-R1: Pushing reasoning capability of generalist disease diagnosis with large language model
面向全科疾病诊断的ClinicalGPT-R1，专注提升大模型临床推理能力，医学AI新突破。
arXiv:2504.09421v3 Announce Type: replace-cross Abstract: Recent advances in reasoning with large language models (LLMs)has shown remarkable reasoning…
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Performance of a domain-specific large language model in answering patient questions in psychiatry
精神病学专用模型对战通用聊天机器人，评测医疗问答的临床准确性，AI落地医疗的新探索。
arXiv:2608.22797v1 Announce Type: new Abstract: Background This study was designed to evaluate whether a domain-specific large language model (LLM) tr…
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The Geometry of Low-Resource Language Representations
揭示低资源语言在向量空间中的几何结构，为多语言模型优化提供全新视角。
arXiv:2608.23358v1 Announce Type: new Abstract: The performance gap between low- and high-resource languages in LLMs is widely known, but it remains u…
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What AstroPT knows about galaxies, and what that can teach us about LLMs
从星系到语言模型，AstroPT揭示了预训练模型如何习得结构知识，为LLM研究提供跨学科洞见。
arXiv:2608.22614v1 Announce Type: new Abstract: Interpretability research increasingly asks when concepts emerge during training and whether linear pr…
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RetroDFM-R: Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning
用强化学习让大模型学会「讲道理」，逆合成预测从黑箱猜测走向可解释推理——AI驱动分子设计又进一步。
arXiv:2507.17448v2 Announce Type: replace-cross Abstract: Retrosynthetic planning is a cornerstone of organic synthesis and drug discovery. Yet existi…
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Architecture as Capability Equalizer for Coding Agents
揭秘架构如何成为编码智能体的能力均衡器，为提升代码生成质量提供新视角。
arXiv:2608.21747v1 Announce Type: cross Abstract: LLM-based coding agents generate complete software systems from high-level descriptions, yet little …
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CAI-DLLM: Convergence Aware Inference for Diffusion Language Models
扩散语言模型推理提速新思路，用收敛感知机制减少计算浪费，值得关注。
arXiv:2608.22646v1 Announce Type: new Abstract: Diffusion language models can generate many tokens in parallel, but they still require repeated denois…
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AdaR: A Framework for Equipping LLMs with Adaptive Reasoning
让大模型按需调整推理深度，AdaR框架为复杂问题动态分配计算资源，兼顾效率与准确。
arXiv:2510.04617v3 Announce Type: replace Abstract: Mathematical reasoning is a primary indicator of large language models (LLMs) intelligence. Howeve…
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Move by Move: Measuring and Steering How LLMs Conduct Psychotherapy
拆解LLM心理治疗每步动作，精准测量并引导对话走向，让AI咨询更可控。
arXiv:2608.21325v1 Announce Type: new Abstract: Users increasingly turn to large language models for emotional support, yet little is known about how …
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The search for consciousness inside AI
深入探究AI意识之谜，看科学家如何在LLM中寻找思维的火花，颠覆你对智能的认知。
Article URL: https://www.economist.com/interactive/briefing/2026/08/20/the-search-for-consciousness-inside-llms Comments URL: https://news.ycombinator…
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Improved Confidence Estimates for Black-Box Large Language Models
黑盒大模型置信度不准？这项研究提出新方法，让答案可信度更可靠。
arXiv:2608.19323v1 Announce Type: new Abstract: Uncertainty quantification (UQ) is essential for the safe deployment of large language models (LLMs). …
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Large Language Models: A Mathematical Formulation
从数学底层重新定义大语言模型，为理解LLM提供严谨的理论框架。
arXiv:2601.22170v2 Announce Type: replace-cross Abstract: Large language models (LLMs) process and predict sequences containing text to answer questio…
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Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirements
只用极少GPU就能微调长时程LLM智能体，破解长程推理训练算力困局的新方案。
arXiv:2608.17310v1 Announce Type: new Abstract: Reinforcement Learning (RL) has been promising in single-turn LLM fine-tuning. However, long-horizon a…
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Structure-Internalized Rule Language Model for Faithful Knowledge Graph Reasoning
把推理规则内化进语言模型，让知识图谱推理更忠实可靠，值得关注的前沿方法。
arXiv:2608.17443v1 Announce Type: new Abstract: Knowledge Graph Reasoning (KGR) aims to discover latent facts by leveraging the structural evidence av…
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Can Large Language Models Explain Flight Safety Events? A Prior-Guided Semantic LLM-based Approach
大模型如何解读飞行安全事件？这篇论文提出先验引导语义方法，为预测性安全分析开辟新路径。
arXiv:2608.18017v1 Announce Type: new Abstract: Improving flight safety with flight data requires not only accurate detection of risk events, but more…
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The Fragility of Strategic Thinking in Large Language Models
不只是问答，这项研究揭示了LLM在战略博弈中的推理短板，值得关注。
arXiv:2510.10813v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly applied to domains that require reasoning about othe…
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Macroeconomic Forecasting with Large Language Models
大模型也能预测GDP和通胀？这项研究把LLM用在了宏观经济预测上，看它如何从海量文本中捕捉经济动向。
arXiv:2407.00890v5 Announce Type: replace-cross Abstract: This paper presents a comparative analysis evaluating the accuracy of Large Language Models …