Top Tweets for #Questionanswering
TATA IPL 2026 की विजेता कौनसी टीम बनेगी, आपको क्या लगता हैं?
#QuizChallenge #QuizTime #QuestionAnswering #Question #AnswerChallenge #QuestionOfTheDay #Champion #TATAIPL2026
@anubha_haha Read "Verifiable Financial Enterprise #QuestionAnswering via Inference-Time Grounding and Traceability" by Anubha Kabra (@anubha_haha), Katie Jooyoung Kim, Zhiwei Kou, Helene Sajer, Yimei Fan & Gabriel Martinez Vidiri in the FNP Workshop Proceedings
https://t.co/2uUarkXABs
(5/5)

We were happy to present the 14th #BioASQ #CLEF2026 lab on large-scale #biomedical #semanticIndexing and #QuestionAnswering at the 48th European Conference on Information Retrieval #ECIR2026 today!
Paper here: https://t.co/yOM2hMJoje
More info here: https://t.co/THSGAuCttX

The @BioASQ Task Synergy on #QuestionAnswering for developing topics is on!
Find the 1st round here https://t.co/UOCnARigUp
Submitting results will remain active for three days, until Thursday, January 15th, at 13:00 GMT.
#eHealth #LLMs #CLEF2026

Get ready for the new version of the #BioASQ Synergy task on #InformationRetrieval and #QuestionAnswering for developing #Biomedical topics, in the context of BioASQ14! Task guidelines: https://t.co/LacBaHNrJk #eHealth #clef2026 #LLMs

🚀 The SINAI group is also at #CLEF2025!
This time, our colleague Sara Dueñas is presenting our work on the BioASQ task.
📄 SINAI at BioASQ@CLEF 2025: A Multi-Stage RAG Pipeline for Biomedical Semantic Question Answering
#NLP #AI #BiomedicalAI #QuestionAnswering #RAG

📢 Our colleagues @laurenalopez and @genimarca are at @aclmeeting @SemEvalWorkshop presenting Task 8:
"#QuestionAnswering over Tabular Data."
🤝 A joint research effort with the @Cardiff_NLP team.
🔜 Next stop: PRESTA at #IberLEF
https://t.co/pW9mjsnL8Q
#NLP #AI #LLM

The program of the 13th #BioASQ workshop is now available here: https://t.co/dkmd9eaaNh The 13th #BioASQ workshop will take place in Madrid Spain, on September 9 and 10 as part of #CLEF2025 #eHealth #BigData #QuestionAnswering #semanticsearch

The @BioASQ Task 13b is on!
The 4th batch is now available!
Phase A (#biomedical #InformationRetrieval) https://t.co/tRpQ27rOfh
Phase A+ (#QuestionAnswering) https://t.co/ky10x4Yi9N
-------
More on the #BioASQ #clef2025 Lab here https://t.co/atbDaEngaf
#eHealth #BigData

The @BioASQ Task 13b is on!
The 3rd batch is now available!
Phase B (#QuestionAnswering) https://t.co/RFBcaigZ4X
-------
More on the #BioASQ #clef2025 Lab here https://t.co/atbDaEngaf
#eHealth #HealthAI #aiinhealthcare

The @BioASQ Task 13b is on!
The 3rd batch is now available!
Phase A (#biomedical #InformationRetrieval) https://t.co/tRpQ27rOfh
Phase A+ (#QuestionAnswering) https://t.co/ky10x4Yi9N
-------
More on the #BioASQ #clef2025 Lab here https://t.co/atbDaEngaf
#eHealth #BigData

Do you know any ontologies for #kgqa (#questionAnswering datasets for #knowledgeGraphs)? https://t.co/hDxjrbpgbu
We were happy to present the 13th #BioASQ #CLEF2025 lab on large-scale #biomedical #semanticIndexing and #QuestionAnswering at the 47th European Conference on Information Retrieval #ECIR2025 today!
Paper here: https://t.co/nWdZwL5yj4
More info here: https://t.co/lT0NT2HzLW

The @BioASQ Task 13b is on!
The 1st batch is now available!
Phase A (#biomedical #InformationRetrieval) https://t.co/tRpQ27sm4P
Phase A+ (#QuestionAnswering) https://t.co/ky10x4YPZl
-------
More on the #BioASQ #clef2025 Lab here https://t.co/atbDaEnNZN
#eHealth #BigData

The @BioASQ Task Synergy on #QuestionAnswering for developing topics is on!
Find the 4th round here https://t.co/oXvezD4Tvl
Submitting results will remain active for three days, until Thursday, February 27th, at 13:00 GMT.
#eHealth #BigData #CLEF2025

hello fellow earthlings 👋🏼,
imagine parents, students and teachers using Question Answering for their various goals and in low-resource setting ..
imagine if you can contribute to the pilot:
https://t.co/QlCBEqjwYu
#QuestionAnswering
#representation
#gradschool
@DreamsRValid

Complex vision-language tasks, like image understanding and #QuestionAnswering, require large resource-intensive models.
With Moondream, you can:
▪️ Run #ComputerVision tasks locally
▪️ Use a lightweight model (500MB-2GB)
▪️ Get fast responses for basic image understanding

The @BioASQ Task Synergy on #QuestionAnswering for developing topics is on!
Find the 1st round here https://t.co/oXvezD5rkT
Submitting results will remain active for three days, until Thursday, January 16th, at 13:00 GMT.
#eHealth #LLMs #CLEF2025

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