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Natural Language Processing

46,586 papers (52 classified directly here)

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Papers (including subtopics)

TRIBBLE - TRanslating IBerian languages Based on Limited E-resources EMNLP 2024 Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks COLING 2024 TRINS: Towards Multimodal Language Models that Can Read CVPR 2024 Triple-Encoders: Representations That Fire Together, Wire Together ACL 2024 Triple-R: Automatic Reasoning for Fact Verification Using Language Models COLING 2024 Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation COLING 2024 TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism EMNLP 2024 TriSampler: A Better Negative Sampling Principle for Dense Retrieval AAAI 2024 TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale NAACL 2024 TRoTR: A Framework for Evaluating the Re-contextualization of Text Reuse EMNLP 2024 TRUE-UIE: Two Universal Relations Unify Information Extraction Tasks NAACL 2024 TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques SemEval 2024 Trustful LLMs: Customizing and Grounding Text Generation with knowledge bases and Dual Decoders EMNLP 2024 Trusting Your Evidence: Hallucinate Less with Context-aware Decoding NAACL 2024 Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever ACL 2024 Trustworthiness and Self-awareness in Large Language Models: An Exploration through the Think-Solve-Verify Framework COLING 2024 Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning ICML 2024 Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts ACL 2024 Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning AAAI 2024 Truth is Universal: Robust Detection of Lies in LLMs NeurIPS 2024 TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution EMNLP 2024 TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space ACL 2024 TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models EMNLP 2024 T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering AAAI 2024 TSU HITS’s Submissions to the WMT 2024 General Machine Translation Shared Task EMNLP 2024