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cs.CL2026
Learning to Detect UI Principle Violations via Reinforcement Learning
Nishi Mehta, Swathi Alse, Himani Kumavat +3
Small language models and coding agents increasingly generate web front-end code, yet their outputs are typically evaluated primarily for functional correctness. A generated interf…
cs.CL2026
Translate-R1: Cost-Aware Translation Tool Use via Reinforcement Learning
Pratik Jayarao, Chaitanya Dwivedi, Himanshu Gupta +5
The performance gap across languages in LLMs is well documented, and closing it natively requires pretraining or fine-tuning on corpora that, for most languages, are quite limited.…
cs.CL2026
Code Mixologist : A Practitioner's Guide to Building Code-Mixed LLMs
Himanshu Gupta, Pratik Jayarao, Chaitanya Dwivedi +1
Code-mixing and code-switching (CSW) remain challenging phenomena for large language models (LLMs). Despite recent advances in multilingual modeling, LLMs often struggle in mixed-l…