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Asim Biswal
72 posts
@_asimbiswal

Asim Biswal

@_asimbiswal
PhD Student at @Berkeley_EECS working on the intersection of large language models and data systems
Joined November 2015
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  • @_asimbiswal
    Asim Biswal
    @_asimbiswal
    Mar 9
    NL2SQL agents are already good at writing SQL. But on real large-scale databases, the remaining failures aren't often syntax failures—they come from recurring misconceptions about the data itself. In Arming Data Agents with Tribal Knowledge, we propose TK-Boost: a bolt-on
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    arxiv.org
    Arming Data Agents with Tribal Knowledge
    Natural language to SQL (NL2SQL) translation enables non-expert users to query relational databases through natural language. Recently, NL2SQL agents, powered by the reasoning capabilities of...
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  • @_asimbiswal
    Asim Biswal
    @_asimbiswal
    Feb 13, 2025
    🏆 New Leaderboard Release! Reasoning models like Deepseek-R1 are excelling on math and science benchmarks, but how well do they handle complex questions over large-scale data? Table Augmented Generation (TAG) is a unified paradigm that generalizes methods for natural language
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  • @_asimbiswal
    Asim Biswal
    @_asimbiswal
    Oct 29, 2024
    🧵 Excited to share a demo for our recent work on Table Augmented Generation (TAG)! Ask interesting natural language queries over structured data! tinyurl.com/tagdemoresearch
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  • @_asimbiswal
    Asim Biswal
    @_asimbiswal
    Jul 22, 2018
    @Shadypenguinn Hi Shady! I recently started a "shadow league" for the UCL where we use the coaches' teams and simulate battles each week. Here's the week 1 game vs. the Pichus! Let me know if you would like to see more of these! replay.pokemonshowdown.com/draftfrontier-…
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