{"total":152,"rows":[{"id":"2403.08319","title":"Knowledge Conflicts for LLMs: A Survey","created":"2024-03-13","cited_by_count":283,"area":null},{"id":"2402.12659","title":"FinBen: A Holistic Financial Benchmark for Large Language Models","created":"2024-02-20","cited_by_count":141,"area":null},{"id":"2406.11903","title":"A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges","created":"2024-06-15","cited_by_count":90,"area":null},{"id":"2407.04069","title":"A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations","created":"2024-07-04","cited_by_count":85,"area":null},{"id":"2402.02315","title":"A Survey of Large Language Models in Finance (FinLLMs)","created":"2024-02-04","cited_by_count":79,"area":null},{"id":"2402.02338","title":"NetLLM: Adapting Large Language Models for Networking","created":"2024-02-04","cited_by_count":78,"area":null},{"id":"2310.14735","title":"Unleashing the potential of prompt engineering for large language models","created":"2023-10-23","cited_by_count":72,"area":null},{"id":"2405.03644","title":"When LLMs Meet Cybersecurity: A Systematic Literature Review","created":"2024-05-06","cited_by_count":71,"area":null},{"id":"2407.16221","title":"Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models","created":"2024-07-23","cited_by_count":57,"area":null},{"id":"2402.06853","title":"History, Development, and Principles of Large Language Models-An Introductory Survey","created":"2024-02-10","cited_by_count":30,"area":null},{"id":"2405.16411","title":"Training Tensor Attention Efficiently: From Cubic to Almost Linear Time","created":"2024-05-26","cited_by_count":30,"area":null},{"id":"2406.00936","title":"A Survey of Useful LLM Evaluation","created":"2024-06-03","cited_by_count":29,"area":null},{"id":"2508.09303","title":"ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning","created":"2025-08-12","cited_by_count":26,"area":null},{"id":"2501.04961","title":"Demystifying Domain-adaptive Post-training for Financial LLMs","created":"2025-01-09","cited_by_count":24,"area":null},{"id":"2402.01749","title":"Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models","created":"2024-01-30","cited_by_count":23,"area":null},{"id":"2406.18992","title":"Semi-supervised Concept Bottleneck Models","created":"2024-06-27","cited_by_count":21,"area":null},{"id":"2505.11065","title":"Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking","created":"2025-05-16","cited_by_count":21,"area":null},{"id":"2409.04267","title":"An overview of domain-specific foundation model: key technologies, applications and challenges","created":"2024-09-06","cited_by_count":19,"area":null},{"id":"2412.10047","title":"Large Action Models: From Inception to Implementation","created":"2024-12-13","cited_by_count":18,"area":null},{"id":"2601.20251","title":"Efficient Evaluation of LLM Performance with Statistical Guarantees","created":"2026-01-28","cited_by_count":18,"area":null},{"id":"2403.05798","title":"$\\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting","created":"2024-03-09","cited_by_count":17,"area":null},{"id":"2406.10303","title":"A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations","created":"2024-06-14","cited_by_count":16,"area":null},{"id":"2503.00865","title":"Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers","created":"2025-03-02","cited_by_count":16,"area":null},{"id":"2503.16148","title":"Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models","created":"2025-03-20","cited_by_count":15,"area":null},{"id":"2601.16669","title":"PLawBench: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice","created":"2026-01-23","cited_by_count":15,"area":null},{"id":"2505.21627","title":"Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives","created":"2025-05-27","cited_by_count":13,"area":null},{"id":"2508.09494","title":"Learning Facts at Scale with Active Reading","created":"2025-08-13","cited_by_count":13,"area":null},{"id":"2505.18658","title":"Robustness in Large Language Models: A Survey of Mitigation Strategies and Evaluation Metrics","created":"2025-05-24","cited_by_count":12,"area":null},{"id":"2604.01707","title":"Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework","created":"2026-04-02","cited_by_count":12,"area":null},{"id":"2505.15433","title":"Set-LLM: A Permutation-Invariant LLM","created":"2025-05-21","cited_by_count":11,"area":null},{"id":"2506.11887","title":"Cascaded Language Models for Cost-effective Human-AI Decision-Making","created":"2025-06-13","cited_by_count":11,"area":null},{"id":"2509.08269","title":"A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving","created":"2025-09-10","cited_by_count":11,"area":null},{"id":"2311.12233","title":"Unifying Corroborative and Contributive Attributions in Large Language Models","created":"2023-11-20","cited_by_count":10,"area":null},{"id":"2406.11118","title":"Incentivizing Quality Text Generation via Statistical Contracts","created":"2024-06-17","cited_by_count":10,"area":null},{"id":"2502.19335","title":"Gatekeeper: Improving Model Cascades Through Confidence Tuning","created":"2025-02-26","cited_by_count":10,"area":null},{"id":"2404.18470","title":"ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction","created":"2024-04-29","cited_by_count":9,"area":null},{"id":"2407.15788","title":"Extracting Structured Insights from Financial News: An Augmented LLM Driven Approach","created":"2024-07-22","cited_by_count":8,"area":null},{"id":"2407.18103","title":"Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow","created":"2024-07-25","cited_by_count":8,"area":null},{"id":"2411.02476","title":"A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification","created":"2024-11-04","cited_by_count":8,"area":null},{"id":"2501.02237","title":"Financial Named Entity Recognition: How Far Can LLM Go?","created":"2025-01-04","cited_by_count":8,"area":null},{"id":"2502.18505","title":"Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models","created":"2025-02-21","cited_by_count":8,"area":null},{"id":"2502.05087","title":"Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs","created":"2025-02-07","cited_by_count":7,"area":null},{"id":"2601.08689","title":"QuantEval: A Benchmark for Financial Quantitative Tasks in Large Language Models","created":"2026-01-13","cited_by_count":7,"area":null},{"id":"2405.14748","title":"MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs","created":"2024-05-23","cited_by_count":6,"area":null},{"id":"2408.16978","title":"Training Ultra Long Context Language Model with Fully Pipelined Distributed Transformer","created":"2024-08-30","cited_by_count":6,"area":null},{"id":"2410.15653","title":"Opportunities and Challenges of Generative-AI in Finance","created":"2024-10-21","cited_by_count":6,"area":null},{"id":"2411.12747","title":"A Survey of Financial AI: Architectures, Advances and Open Challenges","created":"2024-11-01","cited_by_count":6,"area":null},{"id":"2412.05731","title":"A Scoping Review of ChatGPT Research in Accounting and Finance","created":"2024-12-07","cited_by_count":6,"area":null},{"id":"2509.05757","title":"Hyperbolic Large Language Models","created":"2025-09-06","cited_by_count":6,"area":null},{"id":"2410.16672","title":"The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models","created":"2024-10-22","cited_by_count":5,"area":null},{"id":"2502.21112","title":"Optimizing Large Language Models for ESG Activity Detection in Financial Texts","created":"2025-02-28","cited_by_count":5,"area":null},{"id":"2506.04290","title":"Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy","created":"2025-06-04","cited_by_count":5,"area":null},{"id":"2506.09085","title":"LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation","created":"2025-06-10","cited_by_count":5,"area":null},{"id":"2510.10009","title":"Beyond the limitation of a single query: Train your LLM for query expansion with Reinforcement Learning","created":"2025-10-11","cited_by_count":5,"area":null},{"id":"2408.03762","title":"'Finance Wizard' at the FinLLM Challenge Task: Financial Text Summarization","created":"2024-08-07","cited_by_count":4,"area":null},{"id":"2502.15932","title":"CVE-LLM : Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models","created":"2025-02-21","cited_by_count":4,"area":null},{"id":"2503.18313","title":"Will LLMs be Professional at Fund Investment? DeepFund: A Live Arena Perspective","created":"2025-03-24","cited_by_count":4,"area":null},{"id":"2503.22693","title":"Bridging Language Models and Financial Analysis","created":"2025-03-14","cited_by_count":4,"area":null},{"id":"2506.01319","title":"Learning Sparsity for Effective and Efficient Music Performance Question Answering","created":"2025-06-02","cited_by_count":4,"area":null},{"id":"2507.18577","title":"Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges","created":"2025-07-07","cited_by_count":4,"area":null},{"id":"2507.23121","title":"Uncovering the Fragility of Trustworthy LLMs through Chinese Textual Ambiguity","created":"2025-07-30","cited_by_count":4,"area":null},{"id":"2603.07223","title":"Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training","created":"2026-03-07","cited_by_count":4,"area":null},{"id":"2406.03614","title":"Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs","created":"2024-06-05","cited_by_count":3,"area":null},{"id":"2408.01444","title":"No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size","created":"2024-07-21","cited_by_count":3,"area":null},{"id":"2410.07118","title":"Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy","created":"2024-10-09","cited_by_count":3,"area":null},{"id":"2411.02671","title":"Fair In-Context Learning via Latent Concept Variables","created":"2024-11-04","cited_by_count":3,"area":null},{"id":"2411.07845","title":"Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements","created":"2024-11-12","cited_by_count":3,"area":null},{"id":"2411.11266","title":"VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs","created":"2024-11-18","cited_by_count":3,"area":null},{"id":"2504.07274","title":"Language Modeling for the Future of Finance: A Survey into Metrics, Tasks, and Data Opportunities","created":"2025-04-09","cited_by_count":3,"area":null},{"id":"2504.10359","title":"DICE: A Framework for Dimensional and Contextual Evaluation of Language Models","created":"2025-04-14","cited_by_count":3,"area":null},{"id":"2505.10282","title":"Streamlining evidence based clinical recommendations with large language models","created":"2025-05-15","cited_by_count":3,"area":null},{"id":"2509.08960","title":"BRoverbs -- Measuring how much LLMs understand Portuguese proverbs","created":"2025-09-10","cited_by_count":3,"area":null},{"id":"2509.21631","title":"Towards Transparent AI: A Survey on Explainable Language Models","created":"2025-09-25","cited_by_count":3,"area":null},{"id":"2403.05541","title":"AI in ESG for Financial Institutions: An Industrial Survey","created":"2024-02-03","cited_by_count":2,"area":null},{"id":"2403.12212","title":"Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts dataset","created":"2024-03-18","cited_by_count":2,"area":null},{"id":"2405.00522","title":"DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting","created":"2024-05-01","cited_by_count":2,"area":null},{"id":"2407.01953","title":"CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications","created":"2024-07-02","cited_by_count":2,"area":null},{"id":"2409.12922","title":"AI Thinking: A framework for rethinking artificial intelligence in practice","created":"2024-08-26","cited_by_count":2,"area":null},{"id":"2410.05802","title":"Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models","created":"2024-10-08","cited_by_count":2,"area":null},{"id":"2411.02558","title":"Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions","created":"2024-11-04","cited_by_count":2,"area":null},{"id":"2501.05465","title":"Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026)","created":"2025-01-03","cited_by_count":2,"area":null},{"id":"2502.05242","title":"Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring","created":"2025-02-07","cited_by_count":2,"area":null},{"id":"2506.06622","title":"QuantMCP: Grounding Large Language Models in Verifiable Financial Reality","created":"2025-06-07","cited_by_count":2,"area":null},{"id":"2507.18560","title":"HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization","created":"2025-07-24","cited_by_count":2,"area":null},{"id":"2509.09544","title":"MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)","created":"2025-09-11","cited_by_count":2,"area":null},{"id":"2509.22480","title":"Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2601.06225","title":"Classroom AI: Large Language Models as Grade-Specific Teachers","created":"2026-01-09","cited_by_count":2,"area":null},{"id":"2605.05211","title":"A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective","created":"2026-04-10","cited_by_count":2,"area":null},{"id":"2404.19093","title":"Large Language Models as Conversational Movie Recommenders: A User Study","created":"2024-04-29","cited_by_count":1,"area":null},{"id":"2408.13338","title":"LalaEval: A Holistic Human Evaluation Framework for Domain-Specific Large Language Models","created":"2024-08-23","cited_by_count":1,"area":null},{"id":"2410.19775","title":"Gender Bias of LLM in Economics: An Existentialism Perspective","created":"2024-10-14","cited_by_count":1,"area":null},{"id":"2505.11067","title":"Assessing the Performance of Analog Training for Transfer Learning","created":"2025-05-16","cited_by_count":1,"area":null},{"id":"2506.02561","title":"Pruning General Large Language Models into Customized Expert Models","created":"2025-06-03","cited_by_count":1,"area":null},{"id":"2506.14851","title":"Efficient Serving of LLM Applications with Probabilistic Demand Modeling","created":"2025-06-17","cited_by_count":1,"area":null},{"id":"2508.06548","title":"Factor Augmented Supervised Learning with Text Embeddings","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2511.01869","title":"BondBERT: What we learn when assigning sentiment in the bond market","created":"2025-10-21","cited_by_count":1,"area":null},{"id":"2511.11883","title":"ClinStructor: AI-Powered Structuring of Unstructured Clinical Texts","created":"2025-11-14","cited_by_count":1,"area":null},{"id":"2512.24289","title":"Automated Analysis of Sustainability Reports: Using Large Language Models for the Extraction and Prediction of EU Taxonomy-Compliant KPIs","created":"2025-12-30","cited_by_count":1,"area":null},{"id":"2512.24526","title":"Generative AI-enhanced Sector-based Investment Portfolio Construction","created":"2025-12-31","cited_by_count":1,"area":null},{"id":"2601.02573","title":"LendNova: Towards Automated Credit Risk Assessment with Language Models","created":"2026-01-05","cited_by_count":1,"area":null}],"next_cursor":"100"}