Joël Niklaus @joelniklaus
Postdoc in #legal #NLProc @unibern @bfh_wirtschaft, previously: @Google @Theteamatx @StanfordCRFM @thomsonreuters niklaus.ai Berne, Switzerland Joined October 2011-
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Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey Explores the integration of LLMs into legal applications, discussing their role in comprehending legal texts, retrieving cases, and performing analysis. arxiv.org/abs/2404.00990
Building a corpus for the anonymization of Romanian jurisprudence Describes a corpus for anonymizing Romanian jurisprudence, detailing the annotation scheme, manual annotation methods, and platform used to facilitate public access while ensuring privacy. aclanthology.org/2024.law-1.7
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction Introduces a new method combining deep learning and Gaussian processes, improving accuracy and uncertainty estimation in predicting legal judgments. arxiv.org/abs/2404.10481
Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach Introduces a law-guided generative retrieval method integrating judgment prediction with document retrieval, enhancing accuracy and consistency. arxiv.org/html/2312.0959…
A View into the Generative AI Legal Landscape 2024 Analyzes advancements in LLMs spurring $700 million in LegalTech investments, emphasizing the need for legal expertise in founders to navigate challenges and opportunities in specialized legal domains. law.stanford.edu/2024/03/07/a-v…
Query-driven Relevant Paragraph Extraction from Legal Judgments Constructs a specialized dataset from the European Court of Human Rights to benchmark legal information retrieval, uncovering significant gaps between fine-tuned and zero-shot performance. arxiv.org/abs/2404.00595
SimuCourt: Building Judicial Decision-Making Agents with Real-world Judgement Documents Presents a judicial benchmark with a judicial knowledge base and a multi-agent framework, that improves judicial analysis and decision-making in legal proceedings. arxiv.org/abs/2403.02959
LexAbSumm: Aspect-based Summarization of Legal Decisions Introduces a dataset for aspect-based summarization of European Court of Human Rights decisions, highlighting challenges in conditioning abstractive models to generate aspect-specific summaries. arxiv.org/html/2404.0059…
Enhancing Court View Generation with Knowledge Injection and Guidance Improves Court View Generation with a knowledge-injected prompt encoder for efficient domain knowledge incorporation and a generating navigator for dynamic guidance during inference. arxiv.org/html/2403.0436…
Neural Data Augmentation for Legal Overruling Task: Small Deep Learning Models vs. Large Language Models Demonstrates that data augmentation improves the performance of small neural networks in legal overruling, outperforming few-shot prompted GPT-3. link.springer.com/article/10.100…
Juru: Legal Brazilian Large Language Model from Reputable Sources Demonstrates that specializing the Sabiá-2 Small model with Brazilian legal texts enhances domain-specific performance at the expense of general knowledge evaluated on diverse exams. arxiv.org/abs/2403.18140
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j⧉nus @repligate
16K Followers 1K Following ⌥ Breach Mystic ⌥ Heisenbergian Harlequin ⌥ Schrodingerian Godflipper ⌥ Rabbit-Hole-As-A-Service (RHAAS)
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20K Followers 224 Following Helping Canadians make better financial decisions. Portfolio Manager, Head of Research @PWLCapital; co-host @RationalRemind. Meet with PWL ⬇️
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473K Followers 96 Following 3x #1 New York Times Bestselling Author. More than 20 million books sold in 75 languages. Life advice without the fluff or BS.
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401 Followers 1K Following 🇬🇷🇪🇺🇬🇧🇮🇹 PhD student @ The University of Sheffield UKRI CDT Speech and Language Tech. | x ML Eng. @behaviorsignals | 2020 Alumni ECE NTUA
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678 Followers 602 Following Building something new | Ex https://t.co/cQ9Bwmb9Yp | InsurTech & AI | Win and help win | eu/acc
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146 Followers 354 Following PhD student in #NLProc @CambridgeLTL, Student Researcher @GoogleAI. Previously, @GoogleAI @ucl_nlp @UniofOxford.
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133 Followers 189 Following PhD student of Legal Tech @ TU Munich, NLP in legal domain, Computational Linguistics
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Quentin Lhoest @qlhoest
3K Followers 232 Following Open Source ML Engineer @huggingface | Maintainer of 🤗Datasets
Ever wondered which LLM judge to take? We say use multiple small ones & make a jury instead of a single judge! 👩⚖️ In our paper we demonstrate that taking a Panel of Llm judges (PoLL) correlates highest with human judgements & reduces intra-model bias! arxiv.org/pdf/2404.18796
Really enjoyed showcasing research that we've been doing the past few years at Sheffield. The main premise of the lecture was that LLMs are idiot savants with remarkable abilities, performing well under extreme or non-intuitive settings (e.g. pre-training, info loss etc.)
@nikaletras giving his inaugural professorial lecture “Language Modelling for the sake of Language Modelling” @SheffieldNLP
HELM Lite v1.2.0 is out! Datasets: NarrativeQA, NaturalQA, OpenbookQA, MMLU, MATH, GSM8K, LegalBench, MedQA, WMT14 Results (we still need to add Claude 3, which requires more prompt finagling): crfm.stanford.edu/helm/lite/v1.2…
SPLATE: Sparse Late Interaction Retrieval Adapts the ColBERTv2 model to map its embeddings to a sparse space, enabling efficient sparse retrieval for candidate generation in the late interaction paradigm. 📝arxiv.org/abs/2404.13950
Hello. We receive so many questions about agents in DSPy. Did you know you that ~15 lines of DSPy can turn an agent that scores 30% to a prompt-optimized, multi-agent aggregation system that scores 60% EM on a HotPotQA sample? I released a notebook showing how to do this 🧵⤵️
🚨LLM RESEARCHERS🚨Want a free boost in speed and memory efficiency for your HuggingFace🤗LLM with ZERO degradation in generation quality? Introducing Prepacking, a simple method to obtain up to 6x speedup and 16x memory efficiency gains in prefilling prompts of varying lengths.…
Our @RekaAILabs Tech Report / Paper is out! 🔥 Tech reports with completely no information are kinda boring so we’re revealing some interesting information on how we train our series of Reka models including tokens, architecture, data & human evaluation workflows. 😃 We tried…
@joelniklaus This is fantastic timing! I'm building a legal advisor chatbot to give refugees essential legal info in their new country. Many don't understand local laws or speak the language. This will be a huge help.
Command R+ (⌘ R+) is our most capable model (with open weights!) yet! I’m particularly excited about its multilingual capabilities. It should do pretty well in 10 languages (English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, and Chinese). You can…
Today, we’re introducing Command R+: a state-of-the-art RAG-optimized LLM designed to tackle enterprise-grade workloads and speak the languages of global business. Our R-series model family is now available on Microsoft Azure, and coming soon to additional cloud providers.
New Research: a lot of talk today about "what happens" inside a language model, since they spend the exact same amount of compute on each token, regardless of difficulty. we touch on this question on our new theory paper, Do Language Models Plan for Future Tokens?
Me celebrating the new launch knowing I have to get back to writing my thesis in 5 minutes:
Today, we’re introducing Command R+: a state-of-the-art RAG-optimized LLM designed to tackle enterprise-grade workloads and speak the languages of global business. Our R-series model family is now available on Microsoft Azure, and coming soon to additional cloud providers.
@joelniklaus This work opens up some interesting opportunities for creating specialized legal language models. Exciting stuff.
"The only constant in life is change." From this April, I'm starting as a full professor at Research Center Trustworthy Data Science and Security + Ruhr University Bochum 🎉🎉 Expanding our research group on trustworthy NLP, stay tuned for new open positions!
New paper at #NAACL2024 🥳 We present GAHD, an 11k German Adversarial Hate speech Dataset 📜 and show that mixing annotator support strategies for finding adv. examples leads to a more effective dataset! Great collab with @paul_rottger and @center_text! Highlights below ⬇️
@joelniklaus @burny_tech Blah this is why I follow your research. Always kicks my butt to do a little more. Thanks for the late night thoughts.
Today, we’re excited to announce RAG 2.0, our end-to-end system for developing production-grade AI. Using RAG 2.0, we’ve created Contextual Language Models (CLMs), which achieve state-of-the-art performance on a variety of industry benchmarks. CLMs outperform strong RAG…
At 11:15 AM on Wednesday, during @eaclmeeting , I will be delivering a presentation titled 'LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text'. You can find more information about the paper at arxiv.org/abs/2402.04335.
Join us tomorrow as @Dorbernsohn presents our efforts to combat legal violations, uncover injustices, and ensure everyone receives the justice they deserve. Find us in the Marrie Louise 2 room at 11:15 @eaclmeeting @NllpWorkshop
At 11:15 AM on Wednesday, during @eaclmeeting , I will be delivering a presentation titled 'LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text'. You can find more information about the paper at arxiv.org/abs/2402.04335.
Neue Funktionen auf entscheidsuche.ch: - Deeplink zur gescrapten Gerichtswebseite - Druck-Ansicht-Button - Batch-Download der Suchergebnisse mit #Scigate von @BoenteWalter
🥳🍾 It's official - I'm a tenured associate professor! This job is incredible luck and privilege, and @ITUkbh is an amazing place to work at!!! More PhD student and postdoc positions will be announced soon.
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