2025-03-06s

Process-based Self-Rewarding advances LLMs, surpassing human reasoning in math by step-wise self-evaluation.

QE4PE: Word-level QE’s impact on MT post-editing with 42 pro-editors across English-Italian/Dutch is investigated. Usability&accuracy challenges in professional workflows are underlined.

KODCODE: A new synthetic coding dataset with verified solutions and tests, enabling state-of-the-art performance for coding LLMs.

Shakti SLMs: Fine-tuning compact language models for efficient, domain-specific AI on edge devices.

CROWDSELECT boosts instruction tuning by cleverly selecting synthetic data using multi-LLM wisdom, enhancing model performance across diverse tasks.

CognitiveDrone: A novel VLA model and benchmark for real-time cognitive UAV tasks, improving reasoning and control.

Babel: An open multilingual LLM supports over 90% of global speakers, filling the language coverage gap and setting new performance standards.

LLM-driven framework enhances autonomous vehicle interactions with human drivers in real-time.

MoR: Adaptive knowledge retrieval by fusing structural and textual data for better question answering.

Rewriting method is critical to conversational assistant effectiveness.