conftrace_

language model

4599 papers

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Also known as

LMS LM

Co-occurring keywords

large language model (13587) text generation (2913) text classification (6793) transfer learning (5449) question answering (2963) representation learning (6206) knowledge distillation (3725) pre-trained language model (1515) few-shot learning (3398) zero-shot learning (3650)

Papers

GOLFer: Smaller LMs-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval ACL 2025
EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary ACL 2025
Beyond Text Compression: Evaluating Tokenizers Across Scales ACL 2025
Mixture of Small and Large Models for Chinese Spelling Check ACL 2025
Do Language Models Understand Honorific Systems in Javanese? ACL 2025
Language Fusion for Parameter-Efficient Cross-lingual Transfer ACL 2025
Pre-Training Curriculum for Multi-Token Prediction in Language Models ACL 2025
Neuron Empirical Gradient: Discovering and Quantifying Neurons’ Global Linear Controllability ACL 2025
Using Shapley interactions to understand how models use structure ACL 2025
AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark ACL 2025
Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding ACL 2025
Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs ACL 2025
Language Models Lack Temporal Generalization and Bigger is Not Better ACL 2025
Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions ACL 2025
Systematic Generalization in Language Models Scales with Information Entropy ACL 2025
Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024
Proving Theorems Recursively NIPS 2024
Imitating Language via Scalable Inverse Reinforcement Learning NIPS 2024
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale NIPS 2024
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices NIPS 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models NIPS 2024
Edit Distance Robust Watermarks via Indexing Pseudorandom Codes NIPS 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NIPS 2024
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels NIPS 2024
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models NIPS 2024