most citedEfficient Machine Translation Corpus Generation: Integrating Human-in-the-Loop Post-Editing with Large Language Models

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20252 cited

Efficient Machine Translation Corpus Generation: Integrating Human-in-the-Loop Post-Editing with Large Language Models

Kamer Ali Yuksel, Ahmet Gunduz, Abdul Baseet Anees +1

This paper introduces an advanced methodology for machine translation (MT) corpus generation, integrating semi-automated, human-in-the-loop post-editing with large language models…

cs.CL2025

MediaMind: Revolutionizing Media Monitoring using Agentification

Ahmet Gunduz, Kamer Ali Yuksel, Hassan Sawaf

In an era of rapid technological advancements, agentification of software tools has emerged as a critical innovation, enabling systems to function autonomously and adaptively. This…

cs.CL20251 cited

ChameleonLLM: Batch-Aware Dynamic Low-Rank Adaptation via Inference-Time Clusters

Kamer Ali Yuksel, Hassan Sawaf

Recent advances in large language models (LLMs) have shown remarkable performance across diverse tasks. However, these models are typically deployed with fixed weights, which limit…

q-fin.PM20251 cited

AlphaSharpe: LLM-Driven Discovery of Robust Risk-Adjusted Metrics

Kamer Ali Yuksel, Hassan Sawaf

Financial metrics like the Sharpe ratio are pivotal in evaluating investment performance by balancing risk and return. However, traditional metrics often struggle with robustness a…

cs.CL2024

AutoMode-ASR: Learning to Select ASR Systems for Better Quality and Cost

Ahmet Gündüz, Yunsu Kim, Kamer Ali Yuksel +3

We present AutoMode-ASR, a novel framework that effectively integrates multiple ASR systems to enhance the overall transcription quality while optimizing cost. The idea is to train…