awesome-llm-if
An Awesome List to LLM Instruction Following
https://github.com/thinkwee/awesome-llm-if
Last synced: 7 days ago
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- SELF-PLAY WITH EXECUTION FEEDBACK: IMPROVING INSTRUCTION-FOLLOWING CAPABILITIES OF LARGE LANGUAGE MODELS
- AutoIF
- LESS: Selecting Influential Data for Targeted Instruction Tuning
- LESS - nlp/less.svg)
- WizardLM: Empowering Large Language Models to Follow Complex Instructions
- WizardLM
- Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
- Instruction Pre-Training: Language Models are Supervised Multitask Learners
- LMOps
- Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
- alpaca_eval - lab/alpaca_eval.svg)
- INFOBENCH: Evaluating Instruction Following Ability in Large Language Models
- InfoBench
- STRUC-BENCH: Are Large Language Models Good at Generating Complex Structured Tabular Data?
- Struc-Bench - Bench.svg)
- FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability
- FoFo
- AlignBench: Benchmarking Chinese Alignment of Large Language Models
- AlignBench
- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
- llm_judge - sys/FastChat.svg)
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition
- ComplexBench - coai/ComplexBench.svg)
- EVALUATING LARGE LANGUAGE MODELS AT EVALUATING INSTRUCTION FOLLOWING
- LLMBar - nlp/LLMBar.svg)
- Instruction-Following Evaluation for Large Language Models
- instruction_following_eval - research/google-research.svg)
- FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models
- Can Large Language Models Understand Real-World Complex Instructions?
- CELLO
- FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
- FollowBench
- Evaluating Large Language Models on Controlled Generation Tasks
- llm-controlgen - controlgen.svg)
- DO LLMS “KNOW” INTERNALLY WHEN THEY FOLLOW INSTRUCTIONS?
- StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs
- StructEval - AI-Lab/StructEval.svg)
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Keywords
llm
5
large-language-models
3
benchmark
2
nlp
2
llama
2
instruction-following
2
evaluation
2
chinese-nlp
1
chinese-llm
1
rlhf
1
leaderboard
1
foundation-models
1
deep-learning
1
x-prompt
1
promptist
1
prompt
1
pretraining
1
lmops
1
lm
1
language-model
1
gpt
1
structure
1
multi-level
1
constraints
1
mistral
1
instruction-tuning
1
influence
1
data-selection
1
data
1
chatgpt
1
chatglm
1
qlora
1
open-source-models
1
open-source
1
open-models
1
lora
1
instruction-set
1
instruct-gpt
1
generative-ai
1
finetune
1
agi
1