77 citations · 77 across the 7 of their papers we have counts for
9 papers
Test-Time Scaling with Diffusion Language Models via Reward-Guided Stitching
Roy Miles, Aysim Toker, Andreea-Maria Oncescu +3
Reasoning with large language models often benefits from generating multiple chains-of-thought, but existing aggregation strategies are typically trajectory-level (e.g., selecting…
A Benchmark for Deep Information Synthesis
Debjit Paul, Daniel Murphy, Milan Gritta +14
Large language model (LLM)-based agents are increasingly used to solve complex tasks involving tool use, such as web browsing, code execution, and data analysis. However, current e…
SATGround: A Spatially-Aware Approach for Visual Grounding in Remote Sensing
Aysim Toker, Andreea-Maria Oncescu, Roy Miles +2
Vision-language models (VLMs) are emerging as powerful generalist tools for remote sensing, capable of integrating information across diverse tasks and enabling flexible, instructi…
CASteer: Cross-Attention Steering for Controllable Concept Erasure
Tatiana Gaintseva, Andreea-Maria Oncescu, Chengcheng Ma +5
Diffusion models have transformed image generation, yet controlling their outputs to reliably erase undesired concepts remains challenging. Existing approaches usually require task…
Dissecting Temporal Understanding in Text-to-Audio Retrieval
Andreea-Maria Oncescu, João F. Henriques, A. Sophia Koepke
Recent advancements in machine learning have fueled research on multimodal tasks, such as for instance text-to-video and text-to-audio retrieval. These tasks require models to unde…
A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval
Andreea-Maria Oncescu, João F. Henriques, Andrew Zisserman +2
Video databases from the internet are a valuable source of text-audio retrieval datasets. However, given that sound and vision streams represent different "views" of the data, trea…
Audio Retrieval with Natural Language Queries: A Benchmark Study
A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques +2
The objectives of this work are cross-modal text-audio and audio-text retrieval, in which the goal is to retrieve the audio content from a pool of candidates that best matches a gi…
Audio Retrieval with Natural Language Queries
Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques +2
We consider the task of retrieving audio using free-form natural language queries. To study this problem, which has received limited attention in the existing literature, we introd…
QuerYD: A video dataset with high-quality text and audio narrations
Andreea-Maria Oncescu, João F. Henriques, Yang Liu +2
We introduce QuerYD, a new large-scale dataset for retrieval and event localisation in video. A unique feature of our dataset is the availability of two audio tracks for each video…