VGate — per-query model outputs
Raw outputs behind the results of VGate: Auditing What Retrieval Gates Learn for Vision-Language Models (code: https://github.com/AnvitaPrasad/vgate; hosted log view: https://huggingface.co/spaces/AnvitaPrasad/vgate).
One folder per GPU job (J1 … J23). Each holds, per benchmark and reader:
<benchmark>__<reader>__<condition>.jsonl: one line per question with the question id, the model's reply, token log-probabilities and entropies, prompt and reply lengths and GPU seconds. Conditions:neclosed-book,evwith the retrieved evidence,oraclewith the gold evidence, and auxiliary passes (samples, published gate prompts, ...).hidden_<benchmark>__<reader>__L<layer>_part<k>.npywith…__qids<k>.json: the last prompt token's hidden state of the closed-book pass at three layers (float16).meta__*.json: model, precision, prompt id and decoding settings of the run.
Readers: Qwen3-VL-4B-Instruct, Qwen2.5-VL-3B-Instruct, InternVL3.5-4B, Qwen3-VL-8B-Instruct, and in J23 Qwen3-VL-32B-Instruct with 4-bit weights on 500 held-out questions per benchmark; J17 holds the retrieval-token
decisions of the released ReflectiVA checkpoint. In J18, 72 questions were generated in float32 after failing in float16
(see the repository's REPRODUCIBILITY.md).
No benchmark content is included: no question text, images, gold answers or retrieved passages, only question ids and model outputs. Rebuild the question tables from the benchmarks' own sources as described in the repository.
Use: python scripts/fetch_outputs.py in the repository places these folders under experiments/runs/, after which
make score confirm extend external cvqa cvqa2 results regenerates every result file.
Licence
These files are model outputs (replies, log-probabilities, hidden states). They follow the terms of the model that
produced them: Qwen3-VL-4B / 8B / 32B-Instruct, Qwen3-VL-4B-Thinking and InternVL3.5-4B outputs, Apache-2.0; Qwen2.5-VL-3B-Instruct
outputs (the files named *Qwen2.5-VL-3B* in J2, J6, J18, J19, J20), Qwen Research License: non-commercial use only; ReflectiVA's decisions (J17),
Apache-2.0. The MIT licence of the code repository does not cover them. The dataset viewer is off because the files are raw
per-run outputs with different columns, not one table.
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