🔩 MLIR - estaugaard · Scour

An Investigation of Linguistic Biases in LLM-Based Recommendations λFunctional Programming

FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean 📝PEG Parsers

BLAST: Benchmarking LLMs with ASP-based Structured Testing λFunctional Programming

Resource-Lean Lexicon Induction for German Dialects 📝PEG Parsers

DryRUN: On the Role of Public Tests in LLM-Driven Code Generation λDependent Types

RefEvo: Agentic Design with Co-Evolutionary Verification for Agile Reference Model Generation λDependent Types

Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation 🪶suckless

Can Code Evaluation Metrics Detect Code Plagiarism? λFunctional Programming

Aligned Multi-View Scripts for Universal Chart-to-Code Generation 🔍Parsers

Dialect vs Demographics: Quantifying LLM Bias from Implicit Linguistic Signals vs. Explicit User Profiles 🔍Parsers

Do Synthetic Trajectories Reflect Real Reward Hacking? A Systematic Study on Monitoring In-the-Wild Hacking in Code Generation λFunctional Programming

RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices 📦Package Managers

PhysCodeBench: Benchmarking Physics-Aware Symbolic Simulation of 3D Scenes via Self-Corrective Multi-Agent Refinement λDependent Types

From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation λFunctional Programming

Learning Reasoning World Models for Parallel Code 🔍Parsers

SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking 🔍Parsers

From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification 🔍Parsers

CharTide: Data-Centric Chart-to-Code Generation via Tri-Perspective Tuning and Inquiry-Driven Evolution λDependent Types

"This Wasn't Made for Me": Recentering User Experience and Emotional Impact in the Evaluation of ASR Bias 🔍Parsers

Machine learning and digital pragmatics: Which word category influences emoji use most? 🔍Parsers

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