activity
20232026
most citedStructural Embeddings of Tools for Large Language Models

1 citations · 2 across the 11 of their papers we have counts for

collaborators

11 papers

cs.AI2026

Know When to Trust the Skill: Delayed Appraisal and Epistemic Vigilance for Single-Agent LLMs

Eren Unlu

As large language models (LLMs) transition into autonomous agents integrated with extensive tool ecosystems, traditional routing heuristics increasingly succumb to context pollutio…

cs.AI2026

Don't Start What You Can't Finish: A Counterfactual Audit of Support-State Triage in LLM Agents

Eren Unlu

Current agent evaluations largely reward execution on fully specified tasks, while recent work studies clarification [11, 22, 2], capability awareness [9, 1], abstention [8, 14], a…

cs.AI2026

Preservation Is Not Enough for Width Growth: Regime-Sensitive Selection of Dense LM Warm Starts

Eren Unlu

Width expansion offers a practical route to reuse smaller causal-language-model checkpoints, but selecting a widened warm start is not solved by zero-step preservation alone. We st…

cs.NE2026

Loop-Extrusion Linkage: Spectral Ordering and Interval-Based Structure Discovery for Continuous Optimization

Eren Unlu

The rapid growth of nature-inspired metaheuristics has exposed a persistent gap between metaphorical novelty and genuine algorithmic advancement. Motivated by the biophysics of chr…

cs.CL2024

Geotokens and Geotransformers

Eren Unlu

In transformer architectures, position encoding primarily provides a sense of sequence for input tokens. While the original transformer paper's method has shown satisfactory result…

cs.CL2023

Translation Aligned Sentence Embeddings for Turkish Language

Eren Unlu, Unver Ciftci

Due to the limited availability of high quality datasets for training sentence embeddings in Turkish, we propose a training methodology and a regimen to develop a sentence embeddin…

cs.LG2023

Entity Embeddings : Perspectives Towards an Omni-Modality Era for Large Language Models

Eren Unlu, Unver Ciftci

Large Language Models (LLMs) are evolving to integrate multiple modalities, such as text, image, and audio into a unified linguistic space. We envision a future direction based on…

cs.CL2023★ 1 cited

Spherical Position Encoding for Transformers

Eren Unlu

Position encoding is the primary mechanism which induces notion of sequential order for input tokens in transformer architectures. Even though this formulation in the original tran…

cs.CL2023

Chatmap : Large Language Model Interaction with Cartographic Data

Eren Unlu

The swift advancement and widespread availability of foundational Large Language Models (LLMs), complemented by robust fine-tuning methodologies, have catalyzed their adaptation fo…

cs.CL2023

FootGPT : A Large Language Model Development Experiment on a Minimal Setting

Eren Unlu

With recent empirical observations, it has been argued that the most significant aspect of developing accurate language models may be the proper dataset content and training strate…

cs.AI2023★ 1 cited

Structural Embeddings of Tools for Large Language Models

Eren Unlu

It is evident that the current state of Large Language Models (LLMs) necessitates the incorporation of external tools. The lack of straightforward algebraic and logical reasoning i…