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

LEGOBench: Scientific Leaderboard Generation Benchmark EMNLP 2024
Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs EMNLP 2024
One-to-many testing for code generation from (just) natural language EMNLP 2024
CoCoHD: Congress Committee Hearing Dataset EMNLP 2024
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging EMNLP 2024
Explicit Inductive Inference using Large Language Models EMNLP 2024
Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA EMNLP 2024
Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants EMNLP 2024
DA3: A Distribution-Aware Adversarial Attack against Language Models EMNLP 2024
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space EMNLP 2024
Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models EMNLP 2024
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs EMNLP 2024
Bridging Local Details and Global Context in Text-Attributed Graphs EMNLP 2024
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion EMNLP 2024
Instruction Fine-Tuning: Does Prompt Loss Matter? EMNLP 2024
Compare without Despair: Reliable Preference Evaluation with Generation Separability EMNLP 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024
STORYSUMM: Evaluating Faithfulness in Story Summarization EMNLP 2024
ACE: A LLM-based Negotiation Coaching System EMNLP 2024
Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models? EMNLP 2024
Perceptions of Linguistic Uncertainty by Language Models and Humans EMNLP 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations EMNLP 2024
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment EMNLP 2024
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning EMNLP 2024