主题图谱 / computational linguistics

computational linguistics

GeneTech 知识引擎共收录 1358 篇相关科研实体，横跨 25 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

年度产出趋势

相关主题

代表性文献（按质量分排序，前 60 条）

• SheffieldGATE at SemEval-2025 Task 2: Multi-Stage Reasoning with Knowledge Fusion for Entity Translation
  2025 · AI Agent 生态 · This paper describes the machine translation system submitted to the SemEval-2025 Entity-Aware Machine Translation Task by the SheffieldGATE Team. We proposed a multi-agent entity-aware machine translation system that op…
• CUET_Expelliarmus at BLP2025 Task 2: Leveraging Instruction Translation and Refinement for Bangla-to-Python Code Generation with Open-Source LLMs
  2025 · AI Agent 生态 · This paper presents JGU Mainz’s winning system for the BLP-2025 Shared Task on Code Generation from Bangla Instructions. We propose a multi-agent-based pipeline. First, a code-generation agent produces an initial solutio…
• G-MACT at SemEval-2025 Task 8: Exploring Planning and Tool Use in Question Answering over Tabular Data
  2025 · AI Agent 生态 · This work describes our system submitted to SemEval-2025 Task 8 “Question Answering over Tabular Data.” The shared task focuses on tackling real-life table question answering (TQA) involving extremely large tables with t…
• Protocol Without Prognosis: Clinical Authority in Large-Scale Diagnostic Language Models
  2025 · AI 安全与对齐 · Abstract This article introduces the concept of syntactic delegation in clinical diagnostic systems. It demonstrates how medical language models issue recommendations without preserving the linguistic markers of clinical…
• My AI, My Regime: Authoritarian Personalism in User–AI Governance by Form
  2025 · AI 安全与对齐 · This article introduces the concept of authoritarian personalism in user–AI governance by form . It argues that each user can establish a regime of authority over an AI through a self-authored set of rules that operate a…
• Reward Modeling for Multi-Agent Orchestration
  2026 · AI Agent 生态 · Multi-Agent Systems (MAS) built on Large Language Models (LLMs) require effective orchestration to coordinate specialized agents, yet training such orchestrators is hindered by limited supervision and high computational …
• LLM-as-a-Verifier: A General-Purpose Verification Framework
  2026 · AI Agent 生态 · Scaling pre-training, post-training, and test-time compute have become the central paradigms for improving the capabilities of LLMs. In this work, we identify verification, the ability to determine the correctness of a s…
• AI Alignment Breaks at the Edge
  2026 · AI 安全与对齐 · General Alignment has improved average-case helpfulness and safety, but current alignment practice still rewards confident, single-turn responses. The problem is not only that models fail on edge cases; it is that curren…
• HOME-KGQA: A Benchmark Dataset for Multimodal Knowledge Graph Question Answering on Household Daily Activities
  2026 · AI 安全与对齐 · Large Language Models (LLMs) provide flexible natural language processing capabilities, while knowledge graphs (KGs) offer explicit and structured knowledge. Integrating these two in a complementary manner enables the de…
• AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security
  2026 · AI 安全与对齐 · Modern open-world agents such as OpenClaw exhibit powerful cross-environment execution capabilities yet introduce broad new safety risk sources. Meanwhile, advanced frontier AI models drastically lower attack barriers, r…
• MAEBE: Multi-Agent Emergent Behavior Framework
  2025 · AI Agent 生态 · Traditional AI safety evaluations on isolated LLMs are insufficient as multi-agent AI ensembles become prevalent, introducing novel emergent risks. This paper introduces the Multi-Agent Emergent Behavior Evaluation (MAEB…
• Hierarchical Multi-agent Large Language Model Reasoning for Autonomous Functional Materials Discovery
  2025 · AI Agent 生态 · Artificial intelligence is reshaping scientific exploration, but most methods automate procedural tasks without engaging in scientific reasoning, limiting autonomy in discovery. We introduce Materials Agents for Simulati…
• EvoFlow: Evolving Diverse Agentic Workflows On The Fly
  2025 · AI Agent 生态 · The past two years have witnessed the evolution of large language model (LLM)-based multi-agent systems from labor-intensive manual design to partial automation (\textit{e.g.}, prompt engineering, communication topology)…
• Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents
  2025 · AI Agent 生态 · Large language models (LLMs) are evolving into autonomous decision-makers, raising concerns about catastrophic risks in high-stakes scenarios, particularly in Chemical, Biological, Radiological and Nuclear (CBRN) domains…
• Agent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation Systems
  2025 · AI Agent 生态 · This paper presents a novel approach for unified retrieval-augmented generation (RAG) systems using the recent emerging large language model (LLM) agent concept. Specifically, Agent LLM, which utilizes LLM as fundamental…
• Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents
  2025 · AI Agent 生态 · Large Language Models (LLMs) in multi-agent systems (MAS) have shown promise for complex tasks, yet current training methods lack principled ways to connect system-level evaluation with agent- and message-level learning.…
• InsightGUIDE: An Opinionated AI Assistant for Guided Critical Reading of Scientific Literature
  2025 · AI 安全与对齐 · The proliferation of scientific literature presents an increasingly significant challenge for researchers. While Large Language Models (LLMs) offer promise, existing tools often provide verbose summaries that risk replac…
• Understanding and Mitigating Risks of Generative AI in Financial Services
  2025 · AI 安全与对齐 · To responsibly develop Generative AI (GenAI) products, it is critical to define the scope of acceptable inputs and outputs. What constitutes a "safe" response is an actively debated question. Academic work puts an outsiz…
• Preserving Cultural Identity with Context-Aware Translation Through Multi-Agent AI Systems
  2025 · AI 安全与对齐 · Language is a cornerstone of cultural identity, yet globalization and the dominance of major languages have placed nearly 3,000 languages at risk of extinction. Existing AI-driven translation models prioritize efficiency…
• Identifying Cooperative Personalities in Multi-agent Contexts through Personality Steering with Representation Engineering
  2025 · AI 安全与对齐 · As Large Language Models (LLMs) gain autonomous capabilities, their coordination in multi-agent settings becomes increasingly important. However, they often struggle with cooperation, leading to suboptimal outcomes. Insp…
• NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search
  2025 · AI 安全与对齐 · Generative AI search is reshaping information retrieval by offering end-to-end answers to complex queries, reducing users' reliance on manually browsing and summarizing multiple web pages. However, while this paradigm en…
• ChatBench: From Static Benchmarks to Human-AI Evaluation
  2025 · AI 安全与对齐 · With the rapid adoption of LLM-based chatbots, there is a pressing need to evaluate what humans and LLMs can achieve together. However, standard benchmarks, such as MMLU, measure LLM capabilities in isolation (i.e., "AI-…
• RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection
  2025 · AI 安全与对齐 · This study introduces RUMAA, a transformer-based framework for music performance analysis that unifies score-to-performance alignment, score-informed transcription, and mistake detection in a near end-to-end manner. Unli…
• Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce
  2025 · AI 安全与对齐 · The rapid rise of compound AI systems (a.k.a., AI agents) is reshaping the labor market, raising concerns about job displacement, diminished human agency, and overreliance on automation. Yet, we lack a systematic underst…
• EigenBench: A Comparative Behavioral Measure of Value Alignment
  2025 · AI 安全与对齐 · Aligning AI with human values is a pressing unsolved problem. To address the lack of quantitative metrics for value alignment, we propose EigenBench: a black-box method for comparatively benchmarking language models' val…
• Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering
  2024 · AI Agent 生态 · This work explores the zero-shot capabilities of foundation models in Visual Question Answering (VQA) tasks. We propose an adaptive multi-agent system, named Multi-Agent VQA, to overcome the limitations of foundation mod…
• HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models
  2024 · AI Agent 生态 · Recent research on instructable agents has used memory-augmented Large Language Models (LLMs) as task planners, a technique that retrieves language-program examples relevant to the input instruction and uses them as in-c…
• Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI Workflow
  2024 · AI 安全与对齐 · Generative AI brings novel and impressive abilities to help people in everyday tasks. There are many AI workflows that solve real and complex problems by chaining AI outputs together with human interaction. Although ther…
• Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text
  2024 · AI 安全与对齐 · The significant progress in the development of Large Language Models has contributed to blurring the distinction between human and AI-generated text. The increasing pervasiveness of AI-generated text and the difficulty i…
• Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study
  2024 · AI 安全与对齐 · Popular and news media often portray teenagers with sensationalism, as both a risk to society and at risk from society. As AI begins to absorb some of the epistemic functions of traditional media, we study how teenagers …
• Unified Lexical Representation for Interpretable Visual-Language Alignment
  2024 · AI 安全与对齐 · Visual-Language Alignment (VLA) has gained a lot of attention since CLIP's groundbreaking work. Although CLIP performs well, the typical direct latent feature alignment lacks clarity in its representation and similarity …
• ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
  2024 · AI 安全与对齐 · Retrieval-augmented generation enhances large language models (LLMs) by incorporating relevant information from external knowledge sources. This enables LLMs to adapt to specific domains and mitigate hallucinations in kn…
• Speaker- and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech
  2024 · AI 安全与对齐 · This paper introduces a novel combination of two tasks, previously treated separately: acoustic-to-articulatory speech inversion (AAI) and phoneme-to-articulatory (PTA) motion estimation. We refer to this joint task as a…
• Less Peaky and More Accurate CTC Forced Alignment by Label Priors
  2024 · AI 安全与对齐 · Connectionist temporal classification (CTC) models are known to have peaky output distributions. Such behavior is not a problem for automatic speech recognition (ASR), but it can cause inaccurate forced alignments (FA), …
• Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition
  2024 · AI 安全与对齐 · Speech emotion recognition (SER) has gained significant attention due to its several application fields, such as mental health, education, and human-computer interaction. However, the accuracy of SER systems is hindered …
• Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI
  2024 · AI 安全与对齐 · Ensuring Artificial General Intelligence (AGI) reliably avoids harmful behaviors is a critical challenge, especially for systems with high autonomy or in safety-critical domains. Despite various safety assurance proposal…
• Chat Bankman-Fried: an Exploration of LLM Alignment in Finance
  2024 · AI 安全与对齐 · Advancements in large language models (LLMs) have renewed concerns about AI alignment - the consistency between human and AI goals and values. As various jurisdictions enact legislation on AI safety, the concept of align…
• CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
  2024 · AI 安全与对齐 · Traditional recommender systems such as matrix factorization methods have primarily focused on learning a shared dense embedding space to represent both items and user preferences. Subsequently, sequence models such as R…
• A Language Agent for Autonomous Driving
  2023 · AI Agent 生态 · Human-level driving is an ultimate goal of autonomous driving. Conventional approaches formulate autonomous driving as a perception-prediction-planning framework, yet their systems do not capitalize on the inherent reaso…
• Towards a Neural Lambda Calculus: Neurosymbolic AI Applied to the Foundations of Functional Programming
  2023 · AI 安全与对齐 · Over the last decades, deep neural networks based-models became the dominant paradigm in machine learning. Further, the use of artificial neural networks in symbolic learning has been seen as increasingly relevant recent…
• Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models
  2023 · AI 安全与对齐 · Warning: This paper contains examples of harmful language, and reader discretion is recommended. The increasing open release of powerful large language models (LLMs) has facilitated the development of downstream applicat…
• Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security
  2026 · AI Agent 生态 · Agentic AI systems -- Large Language Models (LLMs) augmented with planning, tool use, memory, and long-horizon interactions -- can execute complex tasks autonomously, but their multi-step trajectories introduce new failu…
• Code as Agent Harness
  2026 · AI Agent 生态 · Recent large language models (LLMs) have demonstrated strong capabilities in understanding and generating code, from competitive programming to repository-level software engineering. In emerging agentic systems, code is …
• How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study
  2026 · AI Agent 生态 · While AI-generated hallucinations pose considerable risks, the underlying cognitive mechanisms by which humans can successfully recognize or be misled by these hallucinations remain unclear. To address this problem, this…
• The Meta-Agent Challenge: Are Current Agents Capable of Autonomous Agent Development?
  2026 · AI Agent 生态 · Current AI benchmarks evaluate agents on task execution within human-designed workflows. These evaluations fundamentally fail to measure a critical next-level capability: whether models can autonomously develop agent sys…
• Skill Retrieval Augmentation for Agentic AI
  2026 · AI Agent 生态 · As large language models (LLMs) evolve into agentic problem solvers, they increasingly rely on external, reusable skills to handle tasks beyond their native parametric capabilities. In existing agent systems, the dominan…
• Orchestra-o1: Omnimodal Agent Orchestration
  2026 · AI Agent 生态 · The recent success of agent swarms has shifted the paradigm of large language model (LLM)-based agents from single-agent workflows to multi-agent systems, highlighting the importance of agent orchestration for task decom…
• PerspectiveGap: A Benchmark for Multi-Agent Orchestration Prompting
  2026 · AI Agent 生态 · Real-world LLM applications are moving beyond single-agent workflows toward orchestrated multi-agent systems, yet current models still struggle to determine what each sub-agent needs to know. To measure this, we introduc…
• GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration
  2026 · AI Agent 生态 · Agentic LLM frameworks that rely on prompted orchestration, where the model itself determines workflow transitions, often suffer from hallucinated routing, infinite loops, and non-reproducible execution. We introduce Gra…
• Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale
  2026 · AI Agent 生态 · The rapid proliferation of Claude agent skills has raised the central question of how to effectively leverage, manage, and scale the agent skill ecosystem. In this paper, we propose AgentSkillOS, the first principled fra…
• Danus: Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory
  2026 · AI Agent 生态 · Recent LLM-based mathematical reasoning agents have begun to tackle research-level problems and, in several cases, have contributed to the resolution of open problems. However, scaling and orchestrating such agents effec…
• MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
  2026 · AI Agent 生态 · While multi-agent systems (MAS) promise elevated intelligence through coordination of agents, current approaches to automatic MAS design under-deliver. Such shortcomings stem from two key factors: (1) methodological comp…
• AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
  2026 · AI Agent 生态 · Language agents have shown strong promise for task automation. Realizing this promise for increasingly complex, long-horizon tasks has driven the rise of a sub-agent-as-tools paradigm for multi-turn task solving. However…
• Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA
  2026 · AI Agent 生态 · Large language models (LLMs) can answer religious knowledge queries fluently, yet they often hallucinate and misattribute sources, which is especially consequential in Islamic settings where users expect grounding in can…
• Agentic Reasoning for Large Language Models
  2026 · AI Agent 生态 · Reasoning is a fundamental cognitive process underlying inference, problem-solving, and decision-making. While large language models (LLMs) demonstrate strong reasoning capabilities in closed-world settings, they struggl…
• AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction
  2026 · AI Agent 生态 · Large Language Models have shown strong capabilities in complex problem solving, yet many agentic systems remain difficult to interpret and control due to opaque internal workflows. While some frameworks offer explicit a…
• MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking
  2026 · AI Agent 生态 · We present MagicSelector, a joint optimization framework integrating Counterfactual task decomposition, Progressive reranking, and Dynamic Top-K, designed to address the fundamental challenges of tool retrieval in agents…
• On Time, Within Budget: Constraint-Driven Online Resource Allocation for Agentic Workflows
  2026 · AI Agent 生态 · Agentic systems increasingly solve complex user requests by executing orchestrated workflows, where subtasks are assigned to specialized models or tools and coordinated according to their dependencies. While recent work …
• Global Optimization and Inference-Time Region Grafting for Agentic Workflows
  2026 · AI Agent 生态 · Recent advances in agentic workflow optimization automate workflow design through task-specific workflow search or input-conditioned architecture selection. However, they determine the workflow before execution and canno…
• YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition
  2026 · AI Agent 生态 · Large language models (LLMs) drive significant financial innovations, yet their high-concurrency deployment is severely bottlenecked by KV cache memory overhead, which inflates infrastructure costs and throttles scalabil…

以 API 获取该主题全量数据

# 主题词表（含本主题的站点分布与年度分布）
curl http://data.swarmlabs.tools/api/topics.json

# 主题共现知识图谱
curl http://data.swarmlabs.tools/api/graph.json

需要按主题批量拉取、导出 BibTeX 或接入 AI Agent？查看 数据下载与格式 或 MCP 接入。