8 citations · 11 across the 30 of their papers we have counts for
7 papers · 1 filter
Timely Persuasion with Opposing Senders: When Does Competition Help the Receiver?
Ahmet Bugra Gundogan, Melih Bastopcu
Status updates let a receiver track a changing process, but a sender that controls when they are sent can steer the receiver's estimate without misreporting. We study competition b…
Strategic Information Transmission over Gossip Networks
Emirhan Tekez, Melih Bastopcu, Sinan Gezici
We consider a fully connected gossip network of nodes that track a binary continuous-time Markov source through a strategic sender transmitting updates under a communication bu…
Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services
Ahmet Bugra Gundogan, Yigit Turkmen, Melih Bastopcu
We study a large language model (LLM) service in which a provider chooses a per-token price and a default reasoning-token allocation, while a user may accept the default, customize…
Strategic Persuasion Through Information Timeliness
Ahmet Bugra Gundogan, Melih Bastopcu
We study a dynamic strategic communication problem in which a sender controls the timing of truthful updates from binary continuous-time Markov sources. The receiver chooses betwee…
Characterizing Information Accuracy in Timeliness-Based Gossip Networks
Emirhan Tekez, Melih Bastopcu, Sinan Gezici
We investigate information accuracy in timeliness-based gossip networks where the source evolves according to a continuous-time Markov chain (CTMC) with states and disseminates…
Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
Yigit Turkmen, Baturalp Buyukates, Melih Bastopcu
Large language models (LLMs) are often ensembled together to improve overall reliability and robustness, but in practice models are strongly correlated. This raises a fundamental q…
Queueing-Aware Optimization of Reasoning Tokens for Accuracy-Latency Trade-offs in LLM Servers
Emre Ozbas, Melih Bastopcu
We consider a single large language model (LLM) server that serves a heterogeneous stream of queries belonging to distinct task types. Queries arrive according to a Poisson pro…