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Resources & Methods

16,283 papers (38 classified directly here)

Subtopics

Large Language Models (9,153) Multilingual NLP (4,621) Text Representation (2,258) Lexical Semantics (767) Knowledge Editing (459) Transfer Learning (459) Multimodal NLP (97) Prompt Engineering (93) Pretraining (77)

Papers per year

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Papers (including subtopics)

Dual-Personalizing Adapter for Federated Foundation Models NIPS 2024
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NIPS 2024
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks NIPS 2024
The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding NIPS 2024
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NIPS 2024
Verified Code Transpilation with LLMs NIPS 2024
Exploiting LLM Quantization NIPS 2024
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NIPS 2024
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization NIPS 2024
Is Programming by Example Solved by LLMs? NIPS 2024
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion NIPS 2024
Zero-Shot Tokenizer Transfer NIPS 2024
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization NIPS 2024
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction NIPS 2024
SpeechAlign: Aligning Speech Generation to Human Preferences NIPS 2024
SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models NIPS 2024
CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence NIPS 2024
MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations NIPS 2024
WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts NIPS 2024
Stealth edits to large language models NIPS 2024
Empowering and Assessing the Utility of Large Language Models in Crop Science NIPS 2024
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models NIPS 2024
Understanding Emergent Abilities of Language Models from the Loss Perspective NIPS 2024
HourVideo: 1-Hour Video-Language Understanding NIPS 2024
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models NIPS 2024