57 lines
2.2 KiB
Markdown
57 lines
2.2 KiB
Markdown
# Main ICASSP manuscript
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This is the editable paper directory. It uses the unmodified official ICASSP
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2026 LaTeX assets stored in `../ICASSP2026_Paper_Templates/`. When the ICASSP
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2027 author kit is released, replace or add the official template and update
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`TEMPLATE_DIR` in the Makefile only after checking the new instructions.
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Compile from this directory:
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```bash
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make
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```
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The PDF and all intermediate files are written to `build/`; only source files
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belong in Git.
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Current source layout:
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```text
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main/
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main.tex
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references.bib
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Makefile
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README.md
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build/ # generated, ignored
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```
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The author/affiliation, final results, Method, Experimental Setup, Results and
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Conclusion are still explicit TODOs. Do not turn planned experiments into
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reported findings.
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The current paper thesis is model-agnostic and deliberately narrower than
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addressee prediction. It asks whether general-purpose omni representations
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expose the fine-grained evidence needed for 200 ms wearer floor-action
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projection, whether PEFT can recover it, and whether causal local audio/person
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evidence provides a reliable complement. The initial planned backbone set is:
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- Qwen2.5-Omni-3B;
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- Qwen2.5-Omni-7B;
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- MiniCPM-o 4.5.
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The backbone and final fusion method are **not frozen yet**. Current Qwen-3B
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numbers are exploratory motivation, not evidence that every omni model has the
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same limitation. Compare frozen, PEFT, and local-evidence protocols within each
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backbone; report common local encoders separately from model-native local
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encoders. Raw cross-model scores are secondary because the models expose
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different streaming/readout interfaces.
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Track-consistent person fusion remains one candidate after pooled and
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capacity-matched controls. If selected, dataset participant IDs route
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short-term causal state only; they are not semantic inputs. The publication
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gate is an event-level reduction in multi-other false entries at matched
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wearer-onset recall without degrading onset latency or wearer-yield behavior.
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A general omni claim requires a consistent result across at least two backbone
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families; otherwise the paper must state a model-specific finding. Selected
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examples are explanatory evidence only.
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