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IR-RAG question
few-bits models are they viable?
Grounded Answer Generation
Open
Mamba / SSM
Grounded Answer Generation
Open
RAG and DOC-ID gen in one model
Generative Document Retrieval
Open
graphs added to an LLM
Generative Knowledge Graph
Open
is diffusion viable for recommendation?
Generative Recommendation
Open
graph diffusion for recommendation??
Generative Recommendation
Open
industry case specific RAG
Grounded Answer Generation
Open
Is DSI+++ viable?
Generative Document Retrieval
Open
will we find a way to make DSI+++ scalable?
Generative Document Retrieval
Open
sparse models?
Grounded Answer Generation
Open
modular models (adapters)?
Grounded Answer Generation
Open
time series augmented LLM
Grounded Answer Generation
Open
multi-modal augmentation
Grounded Answer Generation
Open
long-context VS RAG (multi-needle in the haystack problem)
Grounded Answer Generation
Open
long-context and DSI?
Generative Document Retrieval
Open
single-multiple-random retrieval
Grounded Answer Generation
Open
turstworthiness (robustness, hallucination, explanation)
Grounded Answer Generation
Open
what are the ideal use cases? should they be inconsequential (ie mistakes don’t matter much), or cases where the user is likely to notice mistakes, or ... ?
Grounded Answer Generation
Open
what types of KGs would be useful? (personal KGs? more standard world knowledge? ...?)
Generative Knowledge Graph
Open
is generating a recommendation qualitatively similar to generating images/text or is it somehow a different kind of generation?
Generative Recommendation
Open
personalization for grounded answer generation
Grounded Answer Generation
Open
generative IR evaluation (applicable to all tasks/topics)
Open
fully generative multimodal grounded answer generation (both text and images are generated)
Grounded Answer Generation
Open
end-to-end RAG training factuality
Grounded Answer Generation
Open
speculative decoding
Open
time-series augmented
Open
vision-language model for retrieval
Open
long context retrieval
Open
what are the limitations of mixture of experts for specific retrieval domains? does it make it even harder to do attribution?
Open
are graphs the solution to multimodality?
Open
can we reliably make knowledge graphs with LLMs in 2024? what is missing?
Open
finetuning or RAG for specific domain knowledge? which of the two provides the bigger boost?
Open
what is needed to apply LLMs to specialized tasks and domains? what are we lacking now?
Open
what role should knowledge graphs when applying LLMs to specialized tasks/domains?
Open
how do you see the future of transformers vs diffusion models?
Open
LLMs as agents?
Open
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