Resources & Methods
16,196 papers (36 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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224
402
561
898
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1,354
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Papers (including subtopics)
AutoRef: Generating Refinements of Reviews Given Guidelines
ACL 2024
AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation
EMNLP 2024
A Web Portal about the State of the Art of NLP Tasks in Spanish
COLING 2024
AXCEL: Automated eXplainable Consistency Evaluation using LLMs
EMNLP 2024
Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings
EMNLP 2024
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
ACL 2024
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
ACL 2024
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks
COLING 2024
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
NeurIPS 2024
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
NAACL 2024
Back to School: Translation Using Grammar Books
EMNLP 2024
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
NeurIPS 2024
BadEdit: Backdooring Large Language Models by Model Editing
ICLR 2024
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
NeurIPS 2024
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model
ACL 2024
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models
COLING 2024
BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense
SemEval 2024
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering
COLING 2024
Base of RoPE Bounds Context Length
NeurIPS 2024
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
ICLR 2024
BatchPrompt: Accomplish more with less
ICLR 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators
EMNLP 2024
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
ICLR 2024
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
ICML 2024
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering
ACL 2024