language model

BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense SemEval 2024 BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text NeurIPS 2024 BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language COLING 2024 BELIEVE: Belief-Enhanced Instruction Generation and Augmentation for Zero-Shot Bias Mitigation NAACL 2024 ∞Bench: Extending Long Context Evaluation Beyond 100K Tokens ACL 2024 Benchmarking and Improving Generator-Validator Consistency of Language Models ICLR 2024 Benchmarking Retrieval-Augmented Generation for Medicine ACL 2024 BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks ICLR 2024 BERGEN: A Benchmarking Library for Retrieval-Augmented Generation EMNLP 2024 Better Late Than Never: Model-Agnostic Hallucination Post-Processing Framework Towards Clinical Text Summarization ACL 2024 Better Synthetic Data by Retrieving and Transforming Existing Datasets ACL 2024 Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks EMNLP 2024 Beyond Flesch-Kincaid: Prompt-based Metrics Improve Difficulty Classification of Educational Texts NAACL 2024 Beyond Memorization: The Challenge of Random Memory Access in Language Models ACL 2024 Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities COLING 2024 Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels NAACL 2024 Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency NeurIPS 2024 Big City Bias: Evaluating the Impact of Metropolitan Size on Computational Job Market Abilities of Language Models EACL 2024 Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature NeurIPS 2024 BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning ACL 2024 Birdie: Advancing State Space Language Modeling with Dynamic Mixtures of Training Objectives EMNLP 2024 Block Transformer: Global-to-Local Language Modeling for Fast Inference NeurIPS 2024 B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory NeurIPS 2024 BMX: Boosting Natural Language Generation Metrics with Explainability EACL 2024 Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models? EMNLP 2024