Good Papers

Showing papers from RELAI.ai; University of Maryland Show all papers

83%Must read
?Must readVote to see the score
NeurIPS 2026Department of Computer Science, U Maryland, College ParkRELAI.ai; University of MarylandTool use & function calling

SpecHop: Continuous Speculation for Accelerating Multi-Hop Retrieval Agents

SpecHop continuously speculates multi-hop retrieval trajectories via asynchronous verification and branch rollback, reducing latency by up to 40% losslessly.

Mehrdad Saberi, Keivan Rezaei, Soheil Feizi

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
88%Must read
?Must readVote to see the score
NeurIPS 2026U Maryland, College ParkRELAI.ai; University of MarylandTool use & function calling

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use

This paper defines model-adaptive tool necessity and finds LLMs exhibit a knowing-doing gap where cognition and action diverge, causing 26.5, 54.0% mismatches.

Yize Cheng, Chenrui Fan, Mahdi JafariRaviz, Keivan Rezaei and 1 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 12 on Hugging Face · Code ★ 17

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5