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cs.CL2026
ReaComp: Compiling LLM Reasoning into Symbolic Solvers for Efficient Program Synthesis
Atharva Naik, Yash Mathur, Prakam +2
LLMs can solve program synthesis tasks but remain inefficient and unreliable on hard instances requiring large combinatorial search. Given a small set of reasoning traces, we use c…
cs.CL2026
Scaling Self-Supervised Speech Models Uncovers Deep Linguistic Relationships: Evidence from the Pacific Cluster
Minu Kim, Hoirin Kim, David R. Mortensen
Similarities between language representations derived from Self-Supervised Speech Models (S3Ms) have been observed to primarily reflect geographic proximity or surface typological…