2 papers
cs.LG2026
Adaptive Negative Reinforcement for LLM Reasoning:Dynamically Balancing Correction and Diversity in RLVR
Yash Ingle, Jaival Chauhan, Ankit Yadav +1
Reinforcement learning with verifiable rewards (RLVR) has become a highly effective method for improving the reasoning abilities of Large Language Models (LLMs). Recent research sh…
cs.CL2026
ILID: Native Script Language Identification for Indian Languages
Yash Ingle, Pruthwik Mishra
The language identification task is a crucial fundamental step in NLP. Often it serves as a pre-processing step for widely used NLP applications such as multilingual machine transl…