Generate a…
- Python program that passes a test suite.
- PDDL plan that satisfies a goal.
- CoT trajectory that yields a positive reward.
The list goes on…
How can we efficiently satisfy these? 🧵👇
In our #Interspeech2025 paper, we introduce AuriStream: a simple, causal model that learns phoneme, word & semantic information from speech.
Poster P6, tomorrow (Aug 19) at 1:30 pm, Foyer 2.2!
In our #Interspeech2025 paper, we introduce AuriStream: a simple, causal model that learns phoneme, word & semantic information from speech.
Poster P6, tomorrow (Aug 19) at 1:30 pm, Foyer 2.2!
New Preprint (link: tinyurl.com/LangLOT) with @alexanderfung.bsky.social, Paris Jaggers, Jason Chen, Josh Rule, Yael Benn, @joshtenenbaum.bsky.social, @spiantado.bsky.social, Rosemary Varley, @evfedorenko.bsky.social
1/8
New Preprint (link: tinyurl.com/LangLOT) with @alexanderfung.bsky.social, Paris Jaggers, Jason Chen, Josh Rule, Yael Benn, @joshtenenbaum.bsky.social, @spiantado.bsky.social, Rosemary Varley, @evfedorenko.bsky.social
1/8
Generate a…
- Python program that passes a test suite.
- PDDL plan that satisfies a goal.
- CoT trajectory that yields a positive reward.
The list goes on…
How can we efficiently satisfy these? 🧵👇
Generate a…
- Python program that passes a test suite.
- PDDL plan that satisfies a goal.
- CoT trajectory that yields a positive reward.
The list goes on…
How can we efficiently satisfy these? 🧵👇
How can we control LMs using diverse signals such as static analyses, test cases, and simulations?
In our paper “Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo” (w/ @benlipkin.bsky.social,
@alexlew.bsky.social, @xtimv.bsky.social) we:
How can we control LMs using diverse signals such as static analyses, test cases, and simulations?
In our paper “Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo” (w/ @benlipkin.bsky.social,
@alexlew.bsky.social, @xtimv.bsky.social) we:
with: @hsmall.bsky.social @moshepoliak.bsky.social @gretatuckute.bsky.social @benlipkin.bsky.social @awolna.bsky.social @aniladmello.bsky.social and @evfedorenko.bsky.social
www.biorxiv.org/content/10.1...
1/n 🧵
with: @hsmall.bsky.social @moshepoliak.bsky.social @gretatuckute.bsky.social @benlipkin.bsky.social @awolna.bsky.social @aniladmello.bsky.social and @evfedorenko.bsky.social
www.biorxiv.org/content/10.1...
1/n 🧵
I'll be presenting at NENLP tomorrow 12:50-2:00pm
Longer thread coming soon :)
I'll be presenting at NENLP tomorrow 12:50-2:00pm
Longer thread coming soon :)
We're exploring new approaches to building software that draws inferences and makes predictions. See alexlew.net for details & apply at gsas.yale.edu/admissions/ by Dec. 15
We're exploring new approaches to building software that draws inferences and makes predictions. See alexlew.net for details & apply at gsas.yale.edu/admissions/ by Dec. 15
Internally, I’ve been developing and using a library that makes this extremely easy, and I decided to open-source it
Meet the decoding library: github.com/benlipkin/de...
1/7
Internally, I’ve been developing and using a library that makes this extremely easy, and I decided to open-source it
Meet the decoding library: github.com/benlipkin/de...
1/7
We present a new account of relevance that weighs both *epistemic* and *decision-theoretic* utility: statements are relevant if they improve the accuracy of listener’s beliefs *and* their future decision-making.
www.tedsumers.info/_files/ugd/2...
We present a new account of relevance that weighs both *epistemic* and *decision-theoretic* utility: statements are relevant if they improve the accuracy of listener’s beliefs *and* their future decision-making.
www.tedsumers.info/_files/ugd/2...
www.language-intelligence-thought.net
www.language-intelligence-thought.net
Paper: arxiv.org/abs/2305.13264
Original thread: twitter.com/_jennhu/stat...
Paper: arxiv.org/abs/2305.13264
Original thread: twitter.com/_jennhu/stat...
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🗣️💬 Help us spread the word by retweeting and following.