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20212026
most citedA Closer Look at the Limitations of Instruction Tuning

3 citations · 15 across the 32 of their papers we have counts for

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7 papers · 1 filter

cs.AI2025

EGOILLUSION: Benchmarking Hallucinations in Egocentric Video Understanding

Ashish Seth, Utkarsh Tyagi, Ramaneswaran Selvakumar +6

Multimodal Large Language Models (MLLMs) have demonstrated remarkable performance in complex multimodal tasks. While MLLMs excel at visual perception and reasoning in third-person…

eess.AS2025

MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence

Sonal Kumar, Šimon Sedláček, Vaibhavi Lokegaonkar +31

Audio comprehension-including speech, non-speech sounds, and music-is essential for achieving human-level intelligence. Consequently, AI agents must demonstrate holistic audio unde…

cs.SD2025

Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models

Arushi Goel, Sreyan Ghosh, Jaehyeon Kim +8

We present Audio Flamingo 3 (AF3), a fully open state-of-the-art (SOTA) large audio-language model that advances reasoning and understanding across speech, sound, and music. AF3 in…

cs.MM2025

MultiVox: A Benchmark for Evaluating Voice Assistants for Multimodal Interactions

Ramaneswaran Selvakumar, Ashish Seth, Nishit Anand +4

The rapid progress of Large Language Models (LLMs) has empowered omni models to act as voice assistants capable of understanding spoken dialogues. These models can process multimod…

cs.SD2025

Multi-Domain Audio Question Answering Benchmark Toward Acoustic Content Reasoning

Chao-Han Huck Yang, Sreyan Ghosh, Qing Wang +14

We present Task 5 of the DCASE 2025 Challenge: an Audio Question Answering (AQA) benchmark spanning multiple domains of sound understanding. This task defines three QA subsets (Bio…

eess.AS2025

ProSE: Diffusion Priors for Speech Enhancement

Sonal Kumar, Sreyan Ghosh, Utkarsh Tyagi +4

Speech enhancement (SE) is the foundational task of enhancing the clarity and quality of speech in the presence of non-stationary additive noise. While deterministic deep learning…

cs.SD2025

Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities

Sreyan Ghosh, Zhifeng Kong, Sonal Kumar +6

Understanding and reasoning over non-speech sounds and music are crucial for both humans and AI agents to interact effectively with their environments. In this paper, we introduce…