{"list":"other","total":54,"rows":[{"id":"2507.06261","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","created":"2025-07-07","cited_by_count":3796},{"id":"2302.12173","title":"Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection","created":"2023-02-23","cited_by_count":1443},{"id":"2310.13548","title":"Towards Understanding Sycophancy in Language Models","created":"2023-10-20","cited_by_count":1040},{"id":"2310.11324","title":"Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting","created":"2023-10-17","cited_by_count":817},{"id":"2410.02736","title":"Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge","created":"2024-10-03","cited_by_count":368},{"id":"2401.00595","title":"State of What Art? A Call for Multi-Prompt LLM Evaluation","created":"2023-12-31","cited_by_count":310},{"id":"2309.17012","title":"Benchmarking Cognitive Biases in Large Language Models as Evaluators","created":"2023-09-29","cited_by_count":150},{"id":"2403.18624","title":"Vulnerability Detection with Code Language Models: How Far Are We?","created":"2024-03-27","cited_by_count":139},{"id":"2502.08177","title":"SycEval: Evaluating LLM Sycophancy","created":"2025-02-12","cited_by_count":108},{"id":"2507.15219","title":"PromptArmor: Simple yet Effective Prompt Injection Defenses","created":"2025-07-21","cited_by_count":108},{"id":"2403.00811","title":"Cognitive Bias in Decision-Making with LLMs","created":"2024-02-25","cited_by_count":106},{"id":"2202.12299","title":"Capturing Failures of Large Language Models via Human Cognitive Biases","created":"2022-02-24","cited_by_count":98},{"id":"2312.12575","title":"LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks","created":"2023-12-19","cited_by_count":97},{"id":"2405.04760","title":"Large Language Models for Cyber Security: A Systematic Literature Review","created":"2024-05-08","cited_by_count":68},{"id":"2406.11147","title":"Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG","created":"2024-06-17","cited_by_count":68},{"id":"2308.03314","title":"GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis","created":"2023-08-07","cited_by_count":65},{"id":"2301.02344","title":"TrojanPuzzle: Covertly Poisoning Code-Suggestion Models","created":"2023-01-06","cited_by_count":60},{"id":"2401.16185","title":"LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning","created":"2024-01-29","cited_by_count":59},{"id":"2204.04008","title":"Taxonomy of Attacks on Open-Source Software Supply Chains","created":"2022-04-08","cited_by_count":58},{"id":"2308.00225","title":"Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias","created":"2023-08-01","cited_by_count":53},{"id":"2308.12697","title":"Prompt-Enhanced Software Vulnerability Detection Using ChatGPT","created":"2023-08-24","cited_by_count":51},{"id":"2301.02496","title":"Stealthy Backdoor Attack for Code Models","created":"2023-01-06","cited_by_count":49},{"id":"2502.07049","title":"LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights","created":"2025-02-10","cited_by_count":47},{"id":"2305.04400","title":"Do Large Language Models Show Decision Heuristics Similar to Humans? A Case Study Using GPT-3.5","created":"2023-05-08","cited_by_count":42},{"id":"2404.02525","title":"Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead","created":"2024-04-03","cited_by_count":42},{"id":"2401.17010","title":"Finetuning Large Language Models for Vulnerability Detection","created":"2024-01-30","cited_by_count":40},{"id":"2406.06822","title":"An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection","created":"2024-06-10","cited_by_count":40},{"id":"2402.08113","title":"Addressing cognitive bias in medical language models","created":"2024-02-12","cited_by_count":36},{"id":"2410.15413","title":"A Comprehensive Evaluation of Cognitive Biases in LLMs","created":"2024-10-20","cited_by_count":34},{"id":"2503.03586","title":"Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories","created":"2025-03-05","cited_by_count":31},{"id":"2311.12420","title":"How Far Have We Gone in Vulnerability Detection Using Large Language Models","created":"2023-11-21","cited_by_count":27},{"id":"2508.02110","title":"Attractive Metadata Attack: Inducing LLM Agents to Invoke Malicious Tools","created":"2025-08-04","cited_by_count":24},{"id":"2402.09193","title":"(Ir)rationality and Cognitive Biases in Large Language Models","created":"2024-02-14","cited_by_count":23},{"id":"2402.10754","title":"LLMDFA: Analyzing Dataflow in Code with Large Language Models","created":"2024-02-16","cited_by_count":22},{"id":"2409.16022","title":"AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment","created":"2024-09-24","cited_by_count":20},{"id":"2407.16235","title":"Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection","created":"2024-07-23","cited_by_count":18},{"id":"2305.04812","title":"Influence of External Information on Large Language Models Mirrors Social Cognitive Patterns","created":"2023-05-08","cited_by_count":16},{"id":"2408.16400","title":"Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection","created":"2024-08-29","cited_by_count":16},{"id":"2506.05739","title":"To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt","created":"2025-06-06","cited_by_count":15},{"id":"2408.02509","title":"Black-Box Adversarial Attacks on LLM-Based Code Completion","created":"2024-08-05","cited_by_count":14},{"id":"2406.07595","title":"VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models","created":"2024-06-11","cited_by_count":11},{"id":"2509.13400","title":"Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews","created":"2025-09-16","cited_by_count":11},{"id":"2509.22856","title":"The Bias is in the Details: An Assessment of Cognitive Bias in LLMs","created":"2025-09-26","cited_by_count":10},{"id":"1707.03869","title":"Cognitive Biases in Software Engineering: A Systematic Mapping Study","created":"2017-07-12","cited_by_count":9},{"id":"2601.13537","title":"When Wording Steers the Evaluation: Framing Bias in LLM judges","created":"2026-01-20","cited_by_count":8},{"id":"2504.16104","title":"Beauty and the Bias: Exploring the Impact of Attractiveness on Multimodal Large Language Models","created":"2025-04-16","cited_by_count":7},{"id":"2506.03923","title":"More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning","created":"2025-06-04","cited_by_count":7},{"id":"2508.21137","title":"How Does Cognitive Bias Affect Large Language Models? A Case Study on the Anchoring Effect in Price Negotiation Simulations","created":"2025-08-28","cited_by_count":7},{"id":"2505.09602","title":"Adversarial Suffix Filtering: a Defense Pipeline for LLMs","created":"2025-05-14","cited_by_count":5},{"id":"2509.05372","title":"Adversarial Bug Reports as a Security Risk in Language Model-Based Automated Program Repair","created":"2025-09-04","cited_by_count":4},{"id":"2508.17361","title":"Trust Me, I Know This Function: Hijacking LLM Static Analysis using Bias","created":"2025-08-24","cited_by_count":3},{"id":"2507.22564","title":"Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs","created":"2025-07-30","cited_by_count":2},{"id":"2602.16741","title":"Can Adversarial Code Comments Fool AI Security Reviewers -- Large-Scale Empirical Study of Comment-Based Attacks and Defenses Against LLM Code Analysis","created":"2026-02-18","cited_by_count":2},{"id":"2504.19215","title":"On the Prevalence and Usage of Commit Signing on GitHub: A Longitudinal and Cross-Domain Study","created":"2025-04-27","cited_by_count":1}],"next_cursor":null}