Latest Research in Computation and Language
184 research papers · 1.4 average citations · 2026 median publication year
Top Research Topics in Computation and Language
- Artificial Intelligence — 46 papers
- Computation and Language — 45 papers
- Machine Learning — 27 papers
- Cryptography and Security — 16 papers
- Computer Vision and Pattern Recognition — 10 papers
- Software Engineering — 7 papers
- Natural Language Processing Techniques — 3 papers
- Distributed, Parallel, and Cluster Computing — 3 papers
- Face Recognition and Perception — 2 papers
- Adversarial Robustness in Machine Learning — 2 papers
Highest-Cited Papers
- Federated Learning Applications for Cross Cultural Communication Analysis Through Privacy Preserving Integration of Linguistic and Paralinguistic Feature Extraction
- Verify-and-Repair Under Matched Call Budgets: Resampling, Grammar Constraints, and Memory Wiring
- The Illusion of Topological Compression: Why Persistent Homology Fails as a Real-Time Prompt-Injection Defense (266 citations)
- Verify-and-Repair Under Matched Call Budgets: Resampling, Grammar Constraints, and Memory Wiring
- Fingerprinting Multimodal Large Language Models
- Beyond Patch Removal: Persistent Adversarial Effects in Vision-Language-Action Policies
- MAPLE: Metadata Augmented Private Language Evolution
- LongWoF-Bench: Evaluating EvoMap Genes for Verifiable Long-Workflow Tasks
- Self Improvement via Fast Tree-search
- Long-horizon autoformalization of a core theorem underlying MIP* = RE
- Ask the Tool, Don't Guess: Agent Tool Calls Hold Their Progress, and the Serving System Should Read It
- Robot Visions: Breaking reCAPTCHA at Zero Cost and Zero Shot
- Visual Invariant Stress Test (VIST-AI): Auditing Architectural Invariance Failures, Geometric Blindness, and Confabulation Signatures in Multimodal AI Systems
- Visual Invariant Stress Test (VIST-AI): Auditing Architectural Invariance Failures, Geometric Blindness, and Confabulation Signatures in Multimodal AI Systems
- The Role of Fine-grained Harm Signals in LLM Safety
- ProofVerifier: A Scalable, Diversity-Driven Framework for Natural-Language Proof Verification
- AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines
- FrogNano: Training a 4B Coding Agent via Online Task Synthesis
- Sample Count Is Not Enough: Candidate-Generation Strategy Shapes the Energy and Performance of LLM Test-Time Scaling
- AUDITPLAN: Commit, Then Answer for Auditable Safety Alignment