1 citations · 2 across the 8 of their papers we have counts for
Showing 2026 · cs.CLShow all
2 papers · 2 filters
cs.CL2026
One Reference or Many? Rethinking Multi-Reference Training for Intermediate-Entropy Text Generation
Maitreya Prafulla Chitale, Ketaki Mangesh Shetye, Yash More +4
Natural language generation (NLG) ranges from highly constrained tasks, such as machine translation, to open-ended tasks like dialogue generation. Between them lie peer-review gene…
cs.CL2026
Think: Grounded Metacognitive Reasoning in Large Language Models
Abraham Paul Elenjical, Vivek Hruday Kavuri, Vasudeva Varma
Large Language Models (LLMs) demonstrate strong reasoning performance, yet their ability to reliably monitor, diagnose, and correct their own errors remains limited. We introduce a…