数据来源：ArXiv Domain LLM Domain Papers1. Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive AttributionAbstract:Machine translation (MT) systems continue to produce gender-biased translations. In a time where self-expression is paramount, mistranslations based on default behaviour and stereotyping can lead to harm for users of these systems. To better understand how these systems translate gender in the absence of clear gender cues, we need benchmarking resources that ...

数据来源：ArXiv Domain LLM Domain Papers1. TimeCapsule: Generative Hallucination as a Method for Historical SensemakingAbstract:Large Language Models (LLMs) are temporally overexposed: trained on vast contemporary corpora, they encode present-day concepts that make them unreliable narrators of the past. We present TimeCapsule, a 1.2B-parameter LLaMA-style causal model trained exclusively on Victorian texts (1800-1875) as an epistemologically isolated generative archive. Quantitative evaluation show ...

数据来源：ArXiv Domain LLM Domain Papers1. Large-Scale ChatBot Validation Through Customer Digital Twin SimulationsAbstract:LLM-based chatbots are transforming customer service in regulated domains such as banking, but scalable and cost-effective validation remains a critical barrier to safe deployment. We present a two-part contribution for large-scale chatbot validation. First, we introduce a methodology for creating high-fidelity synthetic customer agents (SCAs) as digital twins, grounded in rea ...

数据来源：ArXiv Domain LLM Domain Papers1. Prompt Chaining in Practice: A Case Study in Automated Scholarly Report GenerationAbstract:The exponential growth of scholarly publications requires automated tools for effective information synthesis. However, simple, single-shot prompting methods often lack the reliability and quality required for complex synthesis tasks. This paper introduces and empirically evaluates a multi-stage prompt chaining methodology as a more reliable architectural pattern for ...

数据来源：ArXiv Domain LLM Domain Papers1. TabletCraft: Bridging a 4,000-Year Cultural Gap with Bidirectional Akkadian NMT and Cuneiform RenderingAbstract:Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world’s oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed. Prior work enables one-way, scholar-oriented translation from Akkadian to English, but offers no path in ...

数据来源：HuggingFace Papers Latest Papers1. Program-as-Weights: A Programming Paradigm for Fuzzy FunctionsAbstract:Many everyday programming tasks resist clean rule-based implementation, such as alerting on important log lines, repairing malformed JSON, or ranking search results by intent, and are increasingly outsourced to large language model APIs at the cost of locality, reproducibility, and price. We propose fuzzy-function programming: compiling such a function from a natural-language specific ...

数据来源：HuggingFace Papers Latest Papers1. Program-as-Weights: A Programming Paradigm for Fuzzy FunctionsAbstract:Many everyday programming tasks resist clean rule-based implementation, such as alerting on important log lines, repairing malformed JSON, or ranking search results by intent, and are increasingly outsourced to large language model APIs at the cost of locality, reproducibility, and price. We propose fuzzy-function programming: compiling such a function from a natural-language specific ...

数据来源：ArXiv Domain LLM Domain Papers1. Unveiling Public Opinion: A Study of Sentiment Analysis Using LSTM and Traditional ModelsAbstract:In this age of social media, sites like Twitter have become meeting places for people to share their views and feelings on a wide range of issues and current events as they unfold in real time. Sentiment analysis, a critical application of NLP, has become indispensable due to the massive influx of user-generated content, enabling the extraction of meaningful i ...

数据来源：HuggingFace Papers Latest Papers1. Vidu S1: A Real-Time Interactive Video Generation ModelAbstract:We introduce Vidu S1, a real-time interactive video generation model supporting voice control of digital characters. Users can control video generation content at any moment through voice instructions. Vidu S1 supports infinite-length real-time video generation without blurring, drift, or visual distortion. Built with TurboDiffusion and TurboServe, Vidu S1 outputs 540p real-time videos at up ...

数据来源：HuggingFace Papers Latest Papers1. LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU BudgetAbstract:A growing gap separates inference context lengths from RL post-training: inference systems are approaching million-token contexts, while post-training workloads often remain at 256K tokens or below and rely on length generalization at deployment. The gap is especially important for AI agents, whose observations, tool outputs, documents, and prior decisions accumulate over long t ...

数据来源：HuggingFace Papers Latest Papers1. LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU BudgetAbstract:A growing gap separates inference context lengths from RL post-training: inference systems are approaching million-token contexts, while post-training workloads often remain at 256K tokens or below and rely on length generalization at deployment. The gap is especially important for AI agents, whose observations, tool outputs, documents, and prior decisions accumulate over long t ...

数据来源：HuggingFace Papers Latest Papers1. AREX: Towards a Recursively Self-Improving Agent for Deep ResearchAbstract:Deep research requires agents to find answers that jointly satisfy multiple constraints. Discovering such answers is costly, whereas verifying a candidate can often be decomposed into tractable constraint-wise checks. This discovery—verification asymmetry suggests that a research agent should do more than simply search longer: it should recursively improve its current answer by ve ...

数据来源：HuggingFace Papers Latest Papers1. AREX: Towards a Recursively Self-Improving Agent for Deep ResearchAbstract:Deep research requires agents to find answers that jointly satisfy multiple constraints. Discovering such answers is costly, whereas verifying a candidate can often be decomposed into tractable constraint-wise checks. This discovery—verification asymmetry suggests that a research agent should do more than simply search longer: it should recursively improve its current answer by ve ...

数据来源：HuggingFace Papers Latest Papers1. Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software EvolutionAbstract:Code language models need repository-level context to resolve imports, APIs, and project conventions. Existing methods inject this knowledge as long inputs (retrieved through RAG or dependency analysis) or through per-repository fine-tuning and LoRA — costly at repository scale and brittle to evolving codebases. We introduce Code2LoRA, a hypernetwork fram ...

数据来源：HuggingFace Papers Latest Papers1. EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic EnvironmentsAbstract:Large language model (LLM) agents have achieved strong performance on a wide range of benchmarks, yet most evaluations assume static environments. In contrast, real-world deployment is inherently dynamic, requiring agents to continually align their knowledge, skills, and behavior with changing environments and updated task conditions. To address this gap, we introdu ...