Top Tweets for #tacl
It was great to present this final paper of my #PhD at #EACL and explore ๐ฒ๐ฆ
To appear soon at #TACL until then:
๐ https://t.co/1bIzS1zjfu
Interested in the interplay of model behavior and internals? Questions, thoughts, feedback? Happy to chat!
#NLProc #Interpretability
LMs that "know more" about toxicity are less toxic!
Our #TACL ๐ connects behavior and internals:
๐ LMs amplify toxicity beyond humans
๐ Information about toxicity peaks in lower layers
๐ Bypassing these layers increases toxicity
More details๐ #NLProc #interpretability (1/๐งต)
๐จTalbros Automotive Components:
๐#TACL along with its JVโs secures multi-year orders worth over Rs. 1,000 Crore
#TalbrosAutomotive #StocksToWatch #stockmarketsindia #stockmarketnews #Nifty
LMs that "know more" about toxicity are less toxic!
Our #TACL ๐ connects behavior and internals:
๐ LMs amplify toxicity beyond humans
๐ Information about toxicity peaks in lower layers
๐ Bypassing these layers increases toxicity
More details๐ #NLProc #interpretability (1/๐งต)
๐จ Proud to share our #TACL work on localizing factual inconsistencies in attributable text generation! To find where LLMs hallucinate, we need to get granular. We introduce QASemConsistency, a new method that decomposes text into simple question-answer pairs to precisely pinpoint factual errors at the predicate-argument level.
๐ Can LLMs Automate Fact-Checking Article Writing?
๐ฅ @dhruv_sahnan, David Corney, Irene Larraz, Giovanni Zagni, Ruben Miguez, Zhuohan Xie, Iryna Gurevych, Elizabeth Churchill, @Tanmoy_Chak, Preslav Nakov
๐ Paper: https://t.co/ZX9kPLTxHg
https://t.co/ZX9kPLTxHg
๐ข New #TACL Paper Alert ๐ข
Fact-checking articles go beyond verifying claims - they require context integration, evidence synthesis & clear communication. But can #LLMs really write them? We propose #QRAFT - a multi-agent framework inspired by human fact-checkers. #FactChecking
๐ Paper accepted at TACL!
๐ BHARATBBQ: A Multilingual Bias Benchmark for Question Answering in the Indian Context
๐ฅ Aditya Tomar, Nihar Ranjan Sahoo & Pushpak Bhattacharyya
Hearty congratulations to the team! ๐
#TACL #NLP #Bias #MultilingualNLP #IITB
๐ On the Effect of Instruction Tuning Loss on Generalization
๐ฅ Anwoy Chatterjee @anwoy_, Kowndinya Renduchintala @KowndinyaR, Sumit Bhatia, Tanmoy Chakraborty @Tanmoy_Chak
๐พ Code: https://t.co/JKjfZ5wm65
https://t.co/2EUiwqOzfY
#MachineLearning #NLP #LLMs #TACL
๐จ New #TACL Paper Alert ๐จ
We explore a crucial question in instruction tuning: should we weight prompt and response tokens differently in the loss function?
Introducing Weighted Instruction Tuning - a simple idea that boosts generalization by up to +6.55% across 5 benchmarks!
Exciting news for ACL 2025! ๐ Papers from Transactions of the Association for Computational Linguistics (TACL) will be presented at the conference in Vienna! ๐ Get ready for cutting-edge research in NLP. #ACL2025NLP #TACL #NLProc https://t.co/JMC3CGwQuY
๐จ Paper Accepted at TACL! ๐จ
Our work โExplanatory Summarization with Discourse-Driven Planningโ has been accepted by the Transactions of the Association for Computational Linguistics (#TACL)! ๐
We are now planning to have a presentation at #ACL2025NLP ! ๐ฏ
#NLProc
๐งต(1/3)
๐ฅOur paper "Continual Pre-training on Character-Level Noisy Texts Makes Decoder-based Language Models Robust Few-shot Learners" has been accepted to #TACL๐ฅ
We are now planning to make a presentation at #ACL2025NLP !
https://t.co/9njs2UekX8
#TalbrosAutomotive #TACL
Talbros Automotive Components got big order worth 475 Cr to be executed over 5 Years.
In below tweet, had mentioned that any level below 300 is good to accumulate.
#stockmarketindia #stockmarket #smallcaps
#TalbrosAutomotive Talbros Automotive Components very good #Q2FY25 on both QoQ & YoY.
-Revenue(Cr) 215 Vs 204 QoQ, 194 YoY
-EBITDA(Cr) 37.3 Vs 34.6 QoQ, 30.8 YoY
EBITDA margins also expanded o both QoQ & YoY
-PAT(Cr) 23.4 Vs 20.6 QoQ, 20 YoY
Stock trades at much lower valuation as compared to Peers in Auto Ancillaries sector. Market Cap under 2000 Crore.
Any price below 300 good to accumulate.
#StockMarket #StockMarketIndia #Q2FY2025 #Q2
Prompting LMs is not enough to quantify their linguistic competence! Meet the Holmes๐ benchmark at #EMNLP2024 #TACL or ๐๐งต
๐ Meta-study of current literature
๐ Coverage of LMs and phenomena
๐ Analysis of LM size, architecture, and instruction tuning
https://t.co/4iXP5A5rrG
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
@soon1otis @casszzx @miles_wil @nikaletras
https://t.co/aE0QHioquO
#TACL #EMNLP2024
Are you in #Bangkok? Come to hear about our #TACL paper on emergent cognitive biases in LLMs! Let's chat at:
- Convention Center A1 (Poster) โ Today, 16:00
- Lotus Suite 5-7 (Talk) โ Tuesday, 11:15
Looking forward to geeking out on biases, LLMs, and more! ๐ #ACL2024 #NLProc
๐ข New paper alert! ๐ข
Thrilled to announce `Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias'.
Do instruction tuning and RLHF amplify biases in LMs? ๐งต
Check it out https://t.co/tAylyaQWQi
W @boknilev @GabiStanovsky and N. Rosenfeld.
When we hear someone speak a dialect, we can often tell where they're from. Can LMs do the same?
Our #TACL paper addresses this question and shows how to boost LMs' geolinguistic skills. ๐
This paper has been in the making for almost three years, so glad it's finally out!
๐งต
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