JoelAjitesh commited on
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Replace limitations with roadmap note

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  1. README.md +5 -12
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@@ -80,18 +80,11 @@ qa.ask("what is the capital of France?") # not in your docs
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  # {'answer': None, 'source': None, 'confidence': 0.0}
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  ```
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- ## Honest limitations
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-
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- - Single-span extraction only: no summarization, no aggregation across
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- passages, no multi-turn conversation.
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- - Trained on Wikipedia-style prose, so **tables read poorly**. Convert rows to
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- sentences ("ATA chapter 32 is Landing Gear.") for large accuracy gains.
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- - TF-IDF retrieval is lexical, so paraphrases sharing no words with your
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- documents may cause (safe) abstentions.
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- - Single training run, single seed, in-domain calibration.
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-
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- Full writeup, ablations (the 22.4 to 74.6 EM ladder above), and negative
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- results are in the project repository's `paper/`.
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  ## Training
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  # {'answer': None, 'source': None, 'confidence': 0.0}
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  ```
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+ ## Roadmap
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+
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+ Today the model answers one self-contained question at a time. A conversational
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+ grounding layer (multi-turn context and follow-up questions, with every answer
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+ still a verified quote) is coming.
 
 
 
 
 
 
 
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  ## Training
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