6 citations · 15 across the 21 of their papers we have counts for
11 papers · 1 filter
ARCHead: Activation-Metric Residual Correction for Large Language Model Output Heads
Şuayp Talha Kocabay, Talha Rüzgar Akkuş, Kamer Ali Yuksel
Weight-only quantization substantially reduces the storage of large language model (LLM) transformer blocks, but practical backends often retain the final language-modeling head (L…
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…
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…
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…
A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops
Kamer Ali Yuksel, Hassan Sawaf
Agentic AI systems use specialized agents to handle tasks within complex workflows, enabling automation and efficiency. However, optimizing these systems often requires labor-inten…
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…
Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric
Golara Javadi, Kamer Ali Yuksel, Yunsu Kim +2
In the realm of automatic speech recognition (ASR), the quest for models that not only perform with high accuracy but also offer transparency in their decision-making processes is…
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-Supervision
Kamer Ali Yuksel, Thiago Ferreira, Ahmet Gunduz +2
The common standard for quality evaluation of automatic speech recognition (ASR) systems is reference-based metrics such as the Word Error Rate (WER), computed using manual ground-…
NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning
Kamer Ali Yuksel, Thiago Ferreira, Golara Javadi +2
This paper introduces NoRefER, a novel referenceless quality metric for automatic speech recognition (ASR) systems. Traditional reference-based metrics for evaluating ASR systems r…
Efficient Machine Translation Corpus Generation
Kamer Ali Yuksel, Ahmet Gunduz, Shreyas Sharma +1
This paper proposes an efficient and semi-automated method for human-in-the-loop post-editing for machine translation (MT) corpus generation. The method is based on online training…
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only
Kamer Ali Yuksel, Ahmet Gunduz, Mohamed Al-Badrashiny +2
This paper presents EvolveMT for efficiently combining multiple machine translation (MT) engines. The proposed system selects the output from a single engine for each segment by ut…