Comparison
ROLL vs LLM-Agent-Paper-List
Verdict
Pick ROLL when tags unique to ROLL: rlhf, rlvr, agentic; pick LLM-Agent-Paper-List when tags unique to LLM-Agent-Paper-List: llm, nlp, survey, large-language-models.
Markdown twin · ROLL alternatives · LLM-Agent-Paper-List alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | ROLL | LLM-Agent-Paper-List |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (302d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- ROLL
- Efficient and user-friendly scaling library for RL with LLMs
- LLM-Agent-Paper-List
- The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Stars
- ROLL
- 3.3k
- LLM-Agent-Paper-List
- 8.2k
Forks
- ROLL
- 295
- LLM-Agent-Paper-List
- 492
Open issues
- ROLL
- 119
- LLM-Agent-Paper-List
- 25
Language
- ROLL
- Python
- LLM-Agent-Paper-List
- -
Adopt for
- ROLL
- -
- LLM-Agent-Paper-List
- LLM-Agent-Paper-List is a meticulously curated collection focused on essential research papers related to AI agents built using Large Language Models, encompassing reinforcement learning frameworks and methodologies. It’
Persona
- ROLL
- -
- LLM-Agent-Paper-List
- -
Runtime
- ROLL
- -
- LLM-Agent-Paper-List
- -
License
- ROLL
- Apache-2.0
- LLM-Agent-Paper-List
- -
Last pushed
- ROLL
- Jul 11, 2026
- LLM-Agent-Paper-List
- Sep 12, 2025
Categories
- ROLL
- Model Training, Evaluation & Observability
- LLM-Agent-Paper-List
- Model Training, AI Agents, LLM Frameworks
Trust and health
Maintenance
- ROLL
- Very active (96%)
- LLM-Agent-Paper-List
- Slowing (36%)
Days since push
- ROLL
- 0d
- LLM-Agent-Paper-List
- 302d
Open issues (now)
- ROLL
- 119
- LLM-Agent-Paper-List
- 25
Owner type
- ROLL
- Organization
- LLM-Agent-Paper-List
- User
Full report
- ROLL
- Trust report
- LLM-Agent-Paper-List
- Trust report
Choose ROLL if…
- Tags unique to ROLL: rlhf, rlvr, agentic.
- Also covers Evaluation & Observability.
- More recently updated (last pushed Jul 11, 2026).
When NOT to use ROLL
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose LLM-Agent-Paper-List if…
- Tags unique to LLM-Agent-Paper-List: llm, nlp, survey, large-language-models.
- Also covers AI Agents, LLM Frameworks.
- Ideal for researchers and developers deeply interested in the theory and applications of LLM-based agents.
When NOT to use LLM-Agent-Paper-List
- Not suitable if your focus is on traditional machine learning models without a language model foundation.
- May not be as helpful if you are looking for resources outside the scope of large language model-based agents, such as purely statistical modeling techniques.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alibaba/ROLL) · observed Jul 11, 2026
- GitHub forks (alibaba/ROLL) · observed Jul 11, 2026
- Last push (alibaba/ROLL) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WooooDyy/LLM-Agent-Paper-List) · observed Jul 11, 2026
- GitHub forks (WooooDyy/LLM-Agent-Paper-List) · observed Jul 11, 2026
- Last push (WooooDyy/LLM-Agent-Paper-List) · observed Sep 12, 2025
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 10, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ROLL 3.3k · LLM-Agent-Paper-List 8.2k (synced Jul 11, 2026).
Common questions
- What is the difference between ROLL and LLM-Agent-Paper-List?
- ROLL: Efficient and user-friendly scaling library for RL with LLMs. LLM-Agent-Paper-List: The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ROLL over LLM-Agent-Paper-List?
- Choose ROLL over LLM-Agent-Paper-List when Tags unique to ROLL: rlhf, rlvr, agentic; Also covers Evaluation & Observability; More recently updated (last pushed Jul 11, 2026).
- When should I choose LLM-Agent-Paper-List over ROLL?
- Choose LLM-Agent-Paper-List over ROLL when Tags unique to LLM-Agent-Paper-List: llm, nlp, survey, large-language-models; Also covers AI Agents, LLM Frameworks; Ideal for researchers and developers deeply interested in the theory and applications of LLM-based agents.
- When should I avoid ROLL?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- When should I avoid LLM-Agent-Paper-List?
- Not suitable if your focus is on traditional machine learning models without a language model foundation. May not be as helpful if you are looking for resources outside the scope of large language model-based agents, such as purely statistical modeling techniques.
- Is ROLL or LLM-Agent-Paper-List more popular on GitHub?
- LLM-Agent-Paper-List has more GitHub stars (8,159 vs 3,292). Stars measure visibility, not whether either tool fits your constraints.
- Are ROLL and LLM-Agent-Paper-List open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to ROLL or LLM-Agent-Paper-List?
- GraphCanon lists graph-backed alternatives at ROLL alternatives and LLM-Agent-Paper-List alternatives (ROLL markdown twin, LLM-Agent-Paper-List markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ROLL or LLM-Agent-Paper-List?
- ROLL: Very active. LLM-Agent-Paper-List: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for ROLL and LLM-Agent-Paper-List?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ROLL trust report; LLM-Agent-Paper-List trust report.