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Resources & Methods

16,196 papers (36 classified directly here)

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Papers (including subtopics)

TILeN at SemEval-2025 Task 11: A Transformer-Based Model for Sentiment Classification Applied to the Russian Language SemEval 2025 Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models ACL 2025 TinyThinker: Distilling Reasoning through Coarse-to-Fine Knowledge Internalization with Self-Reflection NAACL 2025 TinyTim: a family of language models for divergent generation NeurIPS 2025 TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation ICCV 2025 TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights ICLR 2025 TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking ACL 2025 TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025 TLUE: A Tibetan Language Understanding Evaluation Benchmark EMNLP 2025 TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings AAAI 2025 TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG EMNLP 2025 To Chat or Task: a Multi-turn Dialogue Generation Framework for Task-Oriented Dialogue Systems ACL 2025 To Code or Not To Code? Exploring Impact of Code in Pre-training ICLR 2025 To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices AAAI 2025 TokAlign: Efficient Vocabulary Adaptation via Token Alignment ACL 2025 Token-Budget-Aware LLM Reasoning ACL 2025 Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning ICML 2025 Tokenization and Representation Biases in Multilingual Models on Dialectal NLP Tasks EMNLP 2025 Tokenization is Sensitive to Language Variation ACL 2025 Token Knowledge: A New Perspective For Knowledge in Large Language Models EMNLP 2025 Token-level semantic typology without a massively parallel corpus ACL 2025 Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs ACL 2025 Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training ACL 2025 TokenShapley: Token Level Context Attribution with Shapley Value ACL 2025 TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability EMNLP 2025