Cui Ding
@cuiding.bsky.social
👀Ever wondered how visual information quality affects reading and language processing?
Our new #EMNLP2025 paper with @wegotlieb.bsky.social, Lena Jäger -- “Modeling Bottom-up Information Quality during Language Processing”, bridges psycholinguistics and multimodal LLMs.
🧠💡👇
arxiv.org/pdf/2509.17047
Our new #EMNLP2025 paper with @wegotlieb.bsky.social, Lena Jäger -- “Modeling Bottom-up Information Quality during Language Processing”, bridges psycholinguistics and multimodal LLMs.
🧠💡👇
arxiv.org/pdf/2509.17047
November 2, 2025 at 11:06 AM
👀Ever wondered how visual information quality affects reading and language processing?
Our new #EMNLP2025 paper with @wegotlieb.bsky.social, Lena Jäger -- “Modeling Bottom-up Information Quality during Language Processing”, bridges psycholinguistics and multimodal LLMs.
🧠💡👇
arxiv.org/pdf/2509.17047
Our new #EMNLP2025 paper with @wegotlieb.bsky.social, Lena Jäger -- “Modeling Bottom-up Information Quality during Language Processing”, bridges psycholinguistics and multimodal LLMs.
🧠💡👇
arxiv.org/pdf/2509.17047
Reposted by Cui Ding
Let's meet at #EMNLP and talk about multilingual knowledge benchmarks!
⚠️MLAMA is full of disfluent sentences
❓Reason: templated translation
💡Simple full-sentence translation improves factual retrieval up to 25%
🙌Remember to check your benchmarks with speakers!
Link: arxiv.org/pdf/2510.15115
⚠️MLAMA is full of disfluent sentences
❓Reason: templated translation
💡Simple full-sentence translation improves factual retrieval up to 25%
🙌Remember to check your benchmarks with speakers!
Link: arxiv.org/pdf/2510.15115
October 28, 2025 at 9:09 PM
Let's meet at #EMNLP and talk about multilingual knowledge benchmarks!
⚠️MLAMA is full of disfluent sentences
❓Reason: templated translation
💡Simple full-sentence translation improves factual retrieval up to 25%
🙌Remember to check your benchmarks with speakers!
Link: arxiv.org/pdf/2510.15115
⚠️MLAMA is full of disfluent sentences
❓Reason: templated translation
💡Simple full-sentence translation improves factual retrieval up to 25%
🙌Remember to check your benchmarks with speakers!
Link: arxiv.org/pdf/2510.15115
Reposted by Cui Ding
💥Introducing new paper: arxiv.org/pdf/2510.17715, QueST — train specialized generators to create challenging coding problems.
From Qwen3-8B-Base
✅ 100K synthetic problems: better than Qwen3-8B
✅ Combining with human written problems: matches DeepSeek-R1-671B
🧵(1/5)
From Qwen3-8B-Base
✅ 100K synthetic problems: better than Qwen3-8B
✅ Combining with human written problems: matches DeepSeek-R1-671B
🧵(1/5)
October 21, 2025 at 2:01 PM
💥Introducing new paper: arxiv.org/pdf/2510.17715, QueST — train specialized generators to create challenging coding problems.
From Qwen3-8B-Base
✅ 100K synthetic problems: better than Qwen3-8B
✅ Combining with human written problems: matches DeepSeek-R1-671B
🧵(1/5)
From Qwen3-8B-Base
✅ 100K synthetic problems: better than Qwen3-8B
✅ Combining with human written problems: matches DeepSeek-R1-671B
🧵(1/5)
Reposted by Cui Ding
Exciting #rstats news for Bayesian model comparison: bridgesampling is finally ready to support cmdstanr, see screenshot. Help us by installing the development version of bridgesampling and letting us know if it works for your model(s): pak::pkg_install("quentingronau/bridgesampling#44")
![R code and output showing the new functionality:
``` r
## pak::pkg_install("quentingronau/bridgesampling#44")
## see: https://cran.r-project.org/web/packages/bridgesampling/vignettes/bridgesampling_example_stan.html
library(bridgesampling)
### generate data ###
set.seed(12345)
mu <- 0
tau2 <- 0.5
sigma2 <- 1
n <- 20
theta <- rnorm(n, mu, sqrt(tau2))
y <- rnorm(n, theta, sqrt(sigma2))
### set prior parameters ###
mu0 <- 0
tau20 <- 1
alpha <- 1
beta <- 1
stancodeH0 <- 'data {
int<lower=1> n; // number of observations
vector[n] y; // observations
real<lower=0> alpha;
real<lower=0> beta;
real<lower=0> sigma2;
}
parameters {
real<lower=0> tau2; // group-level variance
vector[n] theta; // participant effects
}
model {
target += inv_gamma_lpdf(tau2 | alpha, beta);
target += normal_lpdf(theta | 0, sqrt(tau2));
target += normal_lpdf(y | theta, sqrt(sigma2));
}
'
tf <- withr::local_tempfile(fileext = ".stan")
writeLines(stancodeH0, tf)
mod <- cmdstanr::cmdstan_model(tf, quiet = TRUE, force_recompile = TRUE)
fitH0 <- mod$sample(
data = list(y = y, n = n,
alpha = alpha,
beta = beta,
sigma2 = sigma2),
seed = 202,
chains = 4,
parallel_chains = 4,
iter_warmup = 1000,
iter_sampling = 50000,
refresh = 0
)
#> Running MCMC with 4 parallel chains...
#>
#> Chain 3 finished in 0.8 seconds.
#> Chain 2 finished in 0.8 seconds.
#> Chain 4 finished in 0.8 seconds.
#> Chain 1 finished in 1.1 seconds.
#>
#> All 4 chains finished successfully.
#> Mean chain execution time: 0.9 seconds.
#> Total execution time: 1.2 seconds.
H0.bridge <- bridge_sampler(fitH0, silent = TRUE)
print(H0.bridge)
#> Bridge sampling estimate of the log marginal likelihood: -37.73301
#> Estimate obtained in 8 iteration(s) via method "normal".
#### Expected output:
## Bridge sampling estimate of the log marginal likelihood: -37.53183
## Estimate obtained in 5 iteration(s) via method "normal".
```](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:lgxrkw556dtxkplwrj5rzlli/bafkreicf6zdyyjmaxrdfyq2sekokprym3c2o5atca6i2cczcx5zec4q4hm@jpeg)
September 2, 2025 at 9:16 AM
Exciting #rstats news for Bayesian model comparison: bridgesampling is finally ready to support cmdstanr, see screenshot. Help us by installing the development version of bridgesampling and letting us know if it works for your model(s): pak::pkg_install("quentingronau/bridgesampling#44")
Reposted by Cui Ding
We are done with the ninth Statistical Methods for Linguistics and Psychology (SMLP) summer school, Potsdam, Germany. The tenth edition is planned for 24-28 August 2026.
August 31, 2025 at 8:00 AM
We are done with the ninth Statistical Methods for Linguistics and Psychology (SMLP) summer school, Potsdam, Germany. The tenth edition is planned for 24-28 August 2026.
Reposted by Cui Ding
Honoured to receive two (!!) SAC highlights awards at #ACL2025 😁 (Conveniently placed on the same slide!)
With the amazing: @philipwitti.bsky.social, @gregorbachmann.bsky.social and @wegotlieb.bsky.social,
@cuiding.bsky.social, Giovanni Acampa, @alexwarstadt.bsky.social, @tamaregev.bsky.social
With the amazing: @philipwitti.bsky.social, @gregorbachmann.bsky.social and @wegotlieb.bsky.social,
@cuiding.bsky.social, Giovanni Acampa, @alexwarstadt.bsky.social, @tamaregev.bsky.social
July 31, 2025 at 7:41 AM
Honoured to receive two (!!) SAC highlights awards at #ACL2025 😁 (Conveniently placed on the same slide!)
With the amazing: @philipwitti.bsky.social, @gregorbachmann.bsky.social and @wegotlieb.bsky.social,
@cuiding.bsky.social, Giovanni Acampa, @alexwarstadt.bsky.social, @tamaregev.bsky.social
With the amazing: @philipwitti.bsky.social, @gregorbachmann.bsky.social and @wegotlieb.bsky.social,
@cuiding.bsky.social, Giovanni Acampa, @alexwarstadt.bsky.social, @tamaregev.bsky.social
Reposted by Cui Ding
Congratulations to @sinaahmadi.bsky.social and co-authors for receiving an ACL 2025 Outstanding Paper Award for PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages!
aclanthology.org/2025.acl-lon...
aclanthology.org/2025.acl-lon...
July 30, 2025 at 3:10 PM
Congratulations to @sinaahmadi.bsky.social and co-authors for receiving an ACL 2025 Outstanding Paper Award for PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages!
aclanthology.org/2025.acl-lon...
aclanthology.org/2025.acl-lon...
Reposted by Cui Ding
Next week onwards, I'm teaching a five-day introductory course on Bayesian Data Analysis in Gent. Newly recorded video lectures to accompany the course are now online: vasishth.github.io/LecturesIntr...
Shravan Vasishth's Intro Bayes course home page
vasishth.github.io
July 10, 2025 at 7:32 PM
Next week onwards, I'm teaching a five-day introductory course on Bayesian Data Analysis in Gent. Newly recorded video lectures to accompany the course are now online: vasishth.github.io/LecturesIntr...
Reposted by Cui Ding
📣Take part in 3rd Terminology shared task @WMT!📣
This year:
👉5 language pairs: EN->{ES, RU, DE, ZH},
👉2 tracks - sentence-level and doc-level translation,
👉authentic data from 2 domains: finance and IT!
www2.statmt.org/wmt25/termin...
Don't miss an opportunity - we only do it once in two years😏
This year:
👉5 language pairs: EN->{ES, RU, DE, ZH},
👉2 tracks - sentence-level and doc-level translation,
👉authentic data from 2 domains: finance and IT!
www2.statmt.org/wmt25/termin...
Don't miss an opportunity - we only do it once in two years😏
Terminology Translation Task
www2.statmt.org
June 6, 2025 at 3:54 PM
📣Take part in 3rd Terminology shared task @WMT!📣
This year:
👉5 language pairs: EN->{ES, RU, DE, ZH},
👉2 tracks - sentence-level and doc-level translation,
👉authentic data from 2 domains: finance and IT!
www2.statmt.org/wmt25/termin...
Don't miss an opportunity - we only do it once in two years😏
This year:
👉5 language pairs: EN->{ES, RU, DE, ZH},
👉2 tracks - sentence-level and doc-level translation,
👉authentic data from 2 domains: finance and IT!
www2.statmt.org/wmt25/termin...
Don't miss an opportunity - we only do it once in two years😏
Some of my colleagues are already very excited about this work!
June 4, 2025 at 5:58 PM
Some of my colleagues are already very excited about this work!
Reposted by Cui Ding
If you're finishing your camera-ready for ACL or ICML and want to cite co-first authors more fairly, I just made a simple fix to do this! Just add $^*$ to the authors' names in your bibtex, and the citations should change :)
github.com/tpimentelms/...
github.com/tpimentelms/...
May 29, 2025 at 8:53 AM
If you're finishing your camera-ready for ACL or ICML and want to cite co-first authors more fairly, I just made a simple fix to do this! Just add $^*$ to the authors' names in your bibtex, and the citations should change :)
github.com/tpimentelms/...
github.com/tpimentelms/...
Reposted by Cui Ding
👀 📖 Big news! 📖 👀
Happy to announce the release of the OneStop Eye Movements dataset! 🎉 🎉
OneStop is the product of over 6 years of experimental design, data collection and data curation.
github.com/lacclab/OneS...
Happy to announce the release of the OneStop Eye Movements dataset! 🎉 🎉
OneStop is the product of over 6 years of experimental design, data collection and data curation.
github.com/lacclab/OneS...
May 29, 2025 at 11:12 AM
👀 📖 Big news! 📖 👀
Happy to announce the release of the OneStop Eye Movements dataset! 🎉 🎉
OneStop is the product of over 6 years of experimental design, data collection and data curation.
github.com/lacclab/OneS...
Happy to announce the release of the OneStop Eye Movements dataset! 🎉 🎉
OneStop is the product of over 6 years of experimental design, data collection and data curation.
github.com/lacclab/OneS...
I am so proud of this work. My first NLP experience. I learned a lot from this amazing team!!!!
⭐🗣️New preprint out: 🗣️⭐ “Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent” with @cuiding.bsky.social , Giovanni Acampa, @tpimentel.bsky.social , @alexwarstadt.bsky.social ,Tamar Regev: arxiv.org/abs/2505.07659
Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent
This paper argues that the relationship between lexical identity and prosody -- one well-studied parameter of linguistic variation -- can be characterized using information theory. We predict that lan...
arxiv.org
May 14, 2025 at 4:56 PM
I am so proud of this work. My first NLP experience. I learned a lot from this amazing team!!!!
Reposted by Cui Ding
⭐🗣️New preprint out: 🗣️⭐ “Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent” with @cuiding.bsky.social , Giovanni Acampa, @tpimentel.bsky.social , @alexwarstadt.bsky.social ,Tamar Regev: arxiv.org/abs/2505.07659
Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent
This paper argues that the relationship between lexical identity and prosody -- one well-studied parameter of linguistic variation -- can be characterized using information theory. We predict that lan...
arxiv.org
May 13, 2025 at 1:21 PM
⭐🗣️New preprint out: 🗣️⭐ “Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent” with @cuiding.bsky.social , Giovanni Acampa, @tpimentel.bsky.social , @alexwarstadt.bsky.social ,Tamar Regev: arxiv.org/abs/2505.07659
Excited to share our preprint "Using MoTR to probe agreement errors in Russian"! w/ Metehan Oğuz, @wegotlieb.bsky.social, Zuzanna Fuchs Link: osf.io/preprints/ps...
1- We provide moderate evidence that processing of agreement errors is modulated by agreement type (internal vs external agr.)
1- We provide moderate evidence that processing of agreement errors is modulated by agreement type (internal vs external agr.)
OSF
osf.io
March 7, 2025 at 10:21 PM
Excited to share our preprint "Using MoTR to probe agreement errors in Russian"! w/ Metehan Oğuz, @wegotlieb.bsky.social, Zuzanna Fuchs Link: osf.io/preprints/ps...
1- We provide moderate evidence that processing of agreement errors is modulated by agreement type (internal vs external agr.)
1- We provide moderate evidence that processing of agreement errors is modulated by agreement type (internal vs external agr.)